Marek Grzes

CoRR, 2023

Deconstructing deep active inference.

[BibT_eX]

[DOI]

CoRR, 2023

Posterior Collapse in Variational Gradient Origin Networks.

[BibT_eX]

[DOI]

Peter Clapham

Proceedings of the International Conference on Machine Learning and Applications, 2023

The Polarised Regime of identifiable Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Branching Time Active Inference: The theory and its generality.

[BibT_eX]

[DOI]

Neural Networks, 2022

Branching time active inference: Empirical study and complexity class analysis.

[BibT_eX]

[DOI]

Neural Networks, 2022

Branching Time Active Inference with Bayesian Filtering.

[BibT_eX]

[DOI]

Neural Comput., 2022

Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges.

[BibT_eX]

[DOI]

CoRR, 2022

FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Modal and Multi-Factor Branching Time Active Inference.

[BibT_eX]

[DOI]

CoRR, 2022

How do Variational Autoencoders Learn? Insights from Representational Similarity.

[BibT_eX]

[DOI]

CoRR, 2022

Training GPT-2 to represent two Romantic-era authors: challenges, evaluations and pitfalls.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

2021

Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker.

[BibT_eX]

[DOI]

Neural Comput., 2021

Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2021

Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker.

[BibT_eX]

[DOI]

CoRR, 2021

2020

SESAM at SemEval-2020 Task 8: Investigating the Relationship between Image and Text in Sentiment Analysis of Memes.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

2019

Comparing Explanations between Random Forests and Artificial Neural Networks.

[BibT_eX]

[DOI]

Lee Harris

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Self-adaptive artificial intelligence.

[BibT_eX]

[DOI]

Rogério de Lemos

Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2019

2018

Reinforcement Learning using Augmented Neural Networks.

[BibT_eX]

[DOI]

Jack Shannon

CoRR, 2018

Improving Language Modelling with Noise Contrastive Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Reward Shaping in Episodic Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

A Spectral Method that Worked Well in the SPiCe'16 Competition.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Grammatical Inference, 2016

Estimating the Accuracy of Spectral Learning for HMMs.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2016

2015

Energy Efficient Execution of POMDP Policies.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

The 2014 International Planning Competition: Progress and Trends.

[BibT_eX]

[DOI]

AI Mag., 2015

Incremental Policy Iteration with Guaranteed Escape from Local Optima in POMDP Planning.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2014

Multi-test decision tree and its application to microarray data classification.

[BibT_eX]

[DOI]

Marcin Czajkowski

Artif. Intell. Medicine, 2014

POMDP planning and execution in an augmented space.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

On the convergence of techniques that improve value iteration.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Isomorph-Free Branch and Bound Search for Finite State Controllers.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Controller Compilation and Compression for Resource Constrained Applications.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013

2012

Analysis of methods for solving MDPs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011

An Empirical Study of Potential-Based Reward Shaping and Advice in Complex, Multi-Agent Systems.

[BibT_eX]

[DOI]

Sam Devlin

Adv. Complex Syst., 2011

Multi-Test Decision Trees for Gene Expression Data Analysis.

[BibT_eX]

[DOI]

Marcin Czajkowski

Proceedings of the Security and Intelligent Information Systems, 2011

Efficient planning in R-max.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Multi-agent, reward shaping for RoboCup KeepAway.

[BibT_eX]

[DOI]

Sam Devlin

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Distributed Control of Situated Assistance in Large Domains with Many Tasks.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Automated Planning and Scheduling, 2011

2010

Improving exploration in reinforcement learning through domain knowledge and parameter analysis.

[BibT_eX]

[DOI]

PhD thesis, 2010

Online learning of shaping rewards in reinforcement learning.

[BibT_eX]

[DOI]

Neural Networks, 2010

PAC-MDP learning with knowledge-based admissible models.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009

Reinforcement Learning with Reward Shaping and Mixed Resolution Function Approximation.

[BibT_eX]

[DOI]

Int. J. Agent Technol. Syst., 2009

Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2009

Improving Optimistic Exploration in Model-Free Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Reinforcement Learning in RoboCup KeepAway with Partial Observability.

[BibT_eX]

[DOI]

Sam Devlin

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2009

Knowledge-Based Reinforcement Learning for Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Agents and Data Mining Interaction, 4th International Workshop, 2009

2008

Multigrid Reinforcement Learning with Reward Shaping.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2008

An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2008

Robustness Analysis of SARSA(lambda): Different Models of Reward and Initialisation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence: Methodology, 2008

2007

Evolutionary Induction of Mixed Decision Trees.

[BibT_eX]

[DOI]

Int. J. Data Warehous. Min., 2007

Evolutionary Induction of Decision Trees for Misclassification Cost Minimization.

[BibT_eX]

[DOI]

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006

Evolutionary Induction of Cost-Sensitive Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Evolutionary Learning of Linear Trees with Embedded Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2006

Mixed Decision Trees: An Evolutionary Approach.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

2005

Global Induction of Oblique Decision Trees: An Evolutionary Approach.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information Processing and Web Mining, 2005

Global learning of decision trees by an evolutionary algorithm.

[BibT_eX]

[DOI]