Csaba Szepesvári
Orcid: 0000-0002-9286-2892Affiliations:
- University of Alberta
According to our database1,
Csaba Szepesvári
authored at least 300 papers
between 1993 and 2024.
Collaborative distances:
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on ualberta.ca
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on orcid.org
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Bibliography
2024
2023
Optimistic MLE: A Generic Model-Based Algorithm for Partially Observable Sequential Decision Making.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023
Online RL in Linearly q<sup>π</sup>-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice.
Proceedings of the International Conference on Machine Learning, 2023
The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation.
Proceedings of the International Conference on Machine Learning, 2023
Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Learning Lipschitz Functions by GD-trained Shallow Overparameterized ReLU Neural Networks.
CoRR, 2022
Confident Approximate Policy Iteration for Efficient Local Planning in q<sup>π</sup>-realizable MDPs.
CoRR, 2022
A free lunch from the noise: Provable and practical exploration for representation learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
TensorPlan and the Few Actions Lower Bound for Planning in MDPs under Linear Realizability of Optimal Value Functions.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Mach. Learn., 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes.
Proceedings of the Conference on Learning Theory, 2021
On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function.
Proceedings of the Conference on Learning Theory, 2021
Nonparametric Regression with Shallow Overparameterized Neural Networks Trained by GD with Early Stopping.
Proceedings of the Conference on Learning Theory, 2021
Proceedings of the Conference on Learning Theory, 2021
Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions.
Proceedings of the Algorithmic Learning Theory, 2021
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
A modular analysis of adaptive (non-)convex optimization: Optimism, composite objectives, variance reduction, and variational bounds.
Theor. Comput. Sci., 2020
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers.
J. Mach. Learn. Res., 2020
On Optimality of Meta-Learning in Fixed-Design Regression with Weighted Biased Regularization.
CoRR, 2020
Auton. Agents Multi Agent Syst., 2020
Variational Policy Gradient Method for Reinforcement Learning with General Utilities.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Learning with Good Feature Representations in Bandits and in RL with a Generative Model.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the Conference on Learning Theory, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Learning with Good Feature Representations in Bandits and in RL with a Generative Model.
CoRR, 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the Conference on Learning Theory, 2019
Cleaning up the neighborhood: A full classification for adversarial partial monitoring.
Proceedings of the Algorithmic Learning Theory, 2019
An Exponential Efron-Stein Inequality for <i>L<sub>q</sub></i> Stable Learning Rules.
Proceedings of the Algorithmic Learning Theory, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Autom. Control., 2018
IEEE Trans. Autom. Control., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
An Exponential Tail Bound for Lq Stable Learning Rules. Application to k-Folds Cross-Validation.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go?
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities.
J. Mach. Learn. Res., 2017
CoRR, 2017
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds.
Proceedings of the International Conference on Algorithmic Learning Theory, 2017
Proceedings of the International Conference on Algorithmic Learning Theory, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
J. Mach. Learn. Res., 2016
Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models.
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Delay-Tolerant Online Convex Optimization: Unified Analysis and Adaptive-Gradient Algorithms.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Exploiting Symmetries to Construct Efficient MCMC Algorithms With an Application to SLAM.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Learning for General Competency in Video Games, 2015
Proceedings of the Computer Poker and Imperfect Information, 2015
2014
Sequential Learning for Multi-Channel Wireless Network Monitoring With Channel Switching Costs.
IEEE Trans. Signal Process., 2014
IEEE Trans. Autom. Control., 2014
Math. Oper. Res., 2014
Bayesian Optimal Control of Smoothly Parameterized Systems: The Lazy Posterior Sampling Algorithm.
CoRR, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the Algorithmic Learning Theory - 25th International Conference, 2014
A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
2013
Theor. Comput. Sci., 2013
Mach. Learn., 2013
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
CoRR, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
The adversarial stochastic shortest path problem with unknown transition probabilities.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstractions
CoRR, 2012
Commun. ACM, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Statistical linear estimation with penalized estimators: an application to reinforcement learning.
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments.
Proceedings of the Tenth European Workshop on Reinforcement Learning, 2012
Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Proceedings of the COLT 2011, 2011
Proceedings of the COLT 2011, 2011
Proceedings of the COLT 2011, 2011
Online Least Squares Estimation with Self-Normalized Processes: An Application to Bandit Problems
CoRR, 2011
Proceedings of the UAI 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011
2010
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01551-9, 2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Extending rapidly-exploring random trees for asymptotically optimal anytime motion planning.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the COLT 2010, 2010
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010
2009
Theor. Comput. Sci., 2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009
Fast gradient-descent methods for temporal-difference learning with linear function approximation.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Regularized Fitted Q-Iteration for planning in continuous-space Markovian decision problems.
Proceedings of the American Control Conference, 2009
2008
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path.
Mach. Learn., 2008
Proceedings of the UAI 2008, 2008
Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction.
Proceedings of the UAI 2008, 2008
A Convergent O(n) Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008
2007
Proceedings of the UAI 2007, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the IJCAI 2007, 2007
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007
Proceedings of the Algorithmic Learning Theory, 18th International Conference, 2007
2006
J. Multim., 2006
Proceedings of the Machine Learning: ECML 2006, 2006
Proceedings of the Advances in Computer Games, 11th International Conference, 2006
2005
Proceedings of the Machine Learning, 2005
X-mHMM: An Efficient Algorithm for Training Mixtures of HMMs When the Number of Mixtures Is Unknown.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
2004
Proceedings of the Machine Learning: ECML 2004, 2004
Proceedings of the Computer Vision, 2004
Kernel Machine Based Feature Extraction Algorithms for Regression Problems.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004
2003
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003
2002
An Asymptotic Scaling Analysis of LQ Performance for an Approximate Adaptive Control Design.
Math. Control. Signals Syst., 2002
LQ performance bounds for adaptive output feedback controllers for functionally uncertain nonlinear systems.
Autom., 2002
2001
Ockham's Razor Modeling of the Matrisome Channels of the Basal Ganglia Thalamocortical Loops.
Int. J. Neural Syst., 2001
AI Commun., 2001
2000
Uncertainty, performance, and model dependency in approximate adaptive nonlinear control.
IEEE Trans. Autom. Control., 2000
Mach. Learn., 2000
Proceedings of the Text, Speech and Dialogue - Third International Workshop, 2000
1999
Neural Networks, 1999
Neural Comput., 1999
The SBASE protein domain library, release 6.0: a collection of annotated protein sequence segments.
Nucleic Acids Res., 1999
1998
J. Field Robotics, 1998
Auton. Robots, 1998
Performance-Evaluation for Automated Detection of Microcalcifications in Mammograms Using Three Different Film-Digitizers.
Proceedings of the Digital Mammography, 1998
Automated Detection and Classification of Micro-Calcifications in Mammograms Using Artifical Neural Nets.
Proceedings of the Digital Mammography, 1998
Multi-criteria Reinforcement Learning.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998
1997
Neural Networks, 1997
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
Proceedings of the Learning Robots, 6th European Workshop, 1997
Proceedings of the Machine Learning: ECML-97, 1997
1996
Int. J. Neural Syst., 1996
A Generalized Reinforcement-Learning Model: Convergence and Applications.
Proceedings of the Machine Learning, 1996
Proceedings of the Artificial Neural Networks, 1996
1994
Neural Comput., 1994
1993
Behavior of an Adaptive Self-organizing Autonomous Agent Working with Cues and Competing Concepts.
Adapt. Behav., 1993