Haitham Bou-Ammar

CoRR, 2023

End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization.

[BibT_eX]

[DOI]

Kamil Dreczkowski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online PCA in Converging Self-consistent Field Equations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?

[BibT_eX]

[DOI]

Juliusz Krysztof Ziomek

Proceedings of the International Conference on Machine Learning, 2023

Lightweight Structural Choices Operator for Technology Mapping.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Online Double Oracle.

[BibT_eX]

[DOI]

Le Cong Dinh

Stephen Marcus McAleer

Trans. Mach. Learn. Res., 2022

SAMBA: safe model-based & active reinforcement learning.

[BibT_eX]

[DOI]

Daniel Palenicek

Vincent Moens

Mohammed Amin Abdullah

Aivar Sootla

Jun Wang

Mach. Learn., 2022

HEBO: An Empirical Study of Assumptions in Bayesian Optimisation.

[BibT_eX]

[DOI]

Alexandre Max Maraval

J. Artif. Intell. Res., 2022

Structured Q-learning For Antibody Design.

[BibT_eX]

[DOI]

CoRR, 2022

Sample-Efficient Optimisation with Probabilistic Transformer Surrogates.

[BibT_eX]

[DOI]

CoRR, 2022

Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations.

[BibT_eX]

[DOI]

CoRR, 2022

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation.

[BibT_eX]

[DOI]

Mohammad Asif Khan

Alexander Imani Cowen-Rivers

CoRR, 2022

Learning Geometric Constraints in Task and Motion Planning.

[BibT_eX]

[DOI]

Tianyu Ren

Jan Peters

CoRR, 2022

Enhancing Safe Exploration Using Safety State Augmentation.

[BibT_eX]

[DOI]

Aivar Sootla

Jun Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Optimistic Tree Searches for Combinatorial Black-Box Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation.

[BibT_eX]

[DOI]

Aivar Sootla

Proceedings of the International Conference on Machine Learning, 2022

Reinforcement Learning in Presence of Discrete Markovian Context Evolution.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

BOiLS: Bayesian Optimisation for Logic Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Are We Forgetting about Compositional Optimisers in Bayesian Optimisation?

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Implicit Variational Conditional Sampling with Normalizing Flows.

[BibT_eX]

[DOI]

CoRR, 2021

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning.

[BibT_eX]

[DOI]

Alexandre Max Maraval

Ryan-Rhys Griffiths

CoRR, 2021

Online Double Oracle.

[BibT_eX]

[DOI]

CoRR, 2021

Efficient Semi-Implicit Variational Inference.

[BibT_eX]

[DOI]

CoRR, 2021

Efficient and Reactive Planning for High Speed Robot Air Hockey.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Robot Reinforcement Learning on the Constraint Manifold.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

HEBO: Heteroscedastic Evolutionary Bayesian Optimisation.

[BibT_eX]

[DOI]

CoRR, 2020

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2020

Compositional ADAM: An Adaptive Compositional Solver.

[BibT_eX]

[DOI]

CoRR, 2020

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

αα-Rank: Practically Scaling α-Rank through Stochastic Optimisation.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Derivative-Free & Order-Robust Optimisation.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Learning to Communicate Implicitly by Actions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Distributed Newton Method for Large-Scale Consensus Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

Wasserstein Robust Reinforcement Learning.

[BibT_eX]

[DOI]

Mohammed Amin Abdullah

CoRR, 2019

Multi-View Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Model-Based Stabilisation of Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Learning High-level Representations from Demonstrations.

[BibT_eX]

[DOI]

Garrett Andersen

Peter Vrancx

CoRR, 2018

Reports on the 2018 AAAI Spring Symposium Series.

[BibT_eX]

[DOI]

Christopher Amato

Elizabeth F. Churchill

Kristen Brent Venable

Peter Vrancx

Shiqi Zhang

AI Mag., 2018

Distributed Multitask Reinforcement Learning with Quadratic Convergence.

[BibT_eX]

[DOI]

Dongho Kim

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Balancing Two-Player Stochastic Games with Soft Q-Learning.

[BibT_eX]

[DOI]

Jordi Grau-Moya

Felix Leibfried

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Scalable lifelong reinforcement learning.

[BibT_eX]

[DOI]

Yusen Zhan

Pattern Recognit., 2017

Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Nonconvex Policy Search Using Variational Inequalities.

[BibT_eX]

[DOI]

Yusen Zhan

Neural Comput., 2017

An Information-Theoretic Optimality Principle for Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Felix Leibfried

Jordi Grau-Moya

CoRR, 2017

Correctness-by-Learning of Infinite-State Component-Based Systems.

[BibT_eX]

[DOI]

Mohamad Jaber

Mohamed Nassar

Proceedings of the Formal Aspects of Component Software - 14th International Conference, 2017

Distributed lifelong reinforcement learning with sub-linear regret.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Scalable Multitask Policy Gradient Reinforcement Learning.

[BibT_eX]

[DOI]

Salam El Bsat

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

On the prevalence of hierarchies in social networks.

[BibT_eX]

[DOI]

Gerhard Weiss

Soc. Netw. Anal. Min., 2016

Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer.

[BibT_eX]

[DOI]

Yusen Zhan

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

An exact distributed newton method for reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Factored four way conditional restricted Boltzmann machines for activity recognition.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2015

A Fast Distributed Solver for Symmetric Diagonally Dominant Linear Equations.

[BibT_eX]

[DOI]

CoRR, 2015

Reduced reference image quality assessment via Boltzmann Machines.

[BibT_eX]

[DOI]

Georgios Exarchakos

Antonio Liotta

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret.

[BibT_eX]

[DOI]

Eric Eaton

Proceedings of the 32nd International Conference on Machine Learning, 2015

Fast, accurate second order methods for network optimization.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

On the Skewed Degree Distribution of Hierarchical Networks.

[BibT_eX]

[DOI]

Gerhard Weiss

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Transfer for Automated Negotiation.

[BibT_eX]

[DOI]

Künstliche Intell., 2014

Automated Transfer for Reinforcement Learning Tasks.

[BibT_eX]

[DOI]

Künstliche Intell., 2014

On the Degree Distribution of Pólya Urn Graph Processes.

[BibT_eX]

[DOI]

CoRR, 2014

Inexpensive user tracking using Boltzmann Machines.

[BibT_eX]

[DOI]

Elena Mocanu

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Online Multi-Task Learning for Policy Gradient Methods.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Influencing Social Networks: An Optimal Control Study.

[BibT_eX]

[DOI]

Daan Bloembergen

Gerhard Weiss

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Evolution of cooperation in arbitrary complex networks.

[BibT_eX]

[DOI]

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

Effects of Evolution on the Emergence of Scale Free Networks.

[BibT_eX]

[DOI]

Vishnu Purushothaman Sreenivasan

Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014

Online Multi-Task Gradient Temporal-Difference Learning.

[BibT_eX]

[DOI]

Eric Eaton

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Theory of Cooperation in Complex Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Conditional Restricted Boltzmann Machines for Negotiations in Highly Competitive and Complex Domains.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Conformity-Based Transfer AdaBoost Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Swarm-based evaluation of nonparametric SysML mechatronics system design.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Mechatronics, 2013

Optimizing complex automated negotiation using sparse pseudo-input gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012

Evolutionary Dynamics of Ant Colony Optimization.

[BibT_eX]

[DOI]

Michael Kaisers

Proceedings of the Multiagent System Technologies - 10th German Conference, 2012

Reinforcement learning transfer via sparse coding.

[BibT_eX]

[DOI]

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

2011

Reinforcement Learning Transfer Using a Sparse Coded Inter-task Mapping.

[BibT_eX]

[DOI]

Proceedings of the Multi-Agent Systems - 9th European Workshop, 2011

Reinforcement Learning Transfer via Common Subspaces.

[BibT_eX]

[DOI]

Proceedings of the Adaptive and Learning Agents - International Workshop, 2011

2010

Nonlinear Tracking and Landing Controller for Quadrotor Aerial Robots.

[BibT_eX]

[DOI]

Holger Voos

Proceedings of the IEEE International Conference on Control Applications, 2010

Controller Design for Quadrotor UAVs using Reinforcement Learning.

[BibT_eX]

[DOI]