Peter Vrancx

Jonas Doevenspeck

Debjyoti Bhattacharjee

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

Learn to Learn on Chip: Hardware-aware Meta-learning for Quantized Few-shot Learning at the Edge.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

2021

Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow.

[BibT_eX]

[DOI]

CoRR, 2021

Noise tolerant ternary weight deep neural networks for analog in-memory inference.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Batch Reinforcement Learning with Hyperparameter Gradients.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Compatible features for Monotonic Policy Improvement.

[BibT_eX]

[DOI]

Marcin B. Tomczak

Sergio Valcarcel Macua

Enrique Munoz de Cote

CoRR, 2019

Policy Optimization Through Approximated Importance Sampling.

[BibT_eX]

[DOI]

CoRR, 2019

Disentangled Skill Embeddings for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Per-Decision Option Discounting.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Soft Q-Learning with Mutual-Information Regularization.

[BibT_eX]

[DOI]

Jordi Grau-Moya

Felix Leibfried

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Convolutional Neural Networks for Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control.

[BibT_eX]

[DOI]

Bert J. Claessens

Frederik Ruelens

IEEE Trans. Smart Grid, 2018

Model-Based Stabilisation of Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Learning High-level Representations from Demonstrations.

[BibT_eX]

[DOI]

Garrett Andersen

Haitham Bou-Ammar

CoRR, 2018

Reports on the 2018 AAAI Spring Symposium Series.

[BibT_eX]

[DOI]

Christopher Amato

Haitham Bou-Ammar

Elizabeth F. Churchill

Kristen Brent Venable

Shiqi Zhang

AI Mag., 2018

Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets.

[BibT_eX]

[DOI]

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

Learning With Options That Terminate Off-Policy.

[BibT_eX]

[DOI]

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

2017

Multi-objectivization and ensembles of shapings in reinforcement learning.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Forecasting day-ahead electricity prices in Europe: the importance of considering market integration.

[BibT_eX]

[DOI]

CoRR, 2017

Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets.

[BibT_eX]

[DOI]

CoRR, 2017

Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Analysing Congestion Problems in Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Roxana Radulescu

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

Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits.

[BibT_eX]

[DOI]

Proceedings of the Autonomous Agents and Multiagent Systems, 2017

2016

Predicting Seat-Off and Detecting Start-of-Assistance Events for Assisting Sit-to-Stand With an Exoskeleton.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2016

Preface to the special issue: adaptive learning agents.

[BibT_eX]

[DOI]

Enda Howley

Matt Knudson

Knowl. Eng. Rev., 2016

A reinforcement learning approach to coordinate exploration with limited communication in continuous action games.

[BibT_eX]

[DOI]

Knowl. Eng. Rev., 2016

2015

A Reinforcement Learning Approach for Interdomain Routing with Link Prices.

[BibT_eX]

[DOI]

ACM Trans. Auton. Adapt. Syst., 2015

An Empirical Comparison of Neural Architectures for Reinforcement Learning in Partially Observable Environments.

[BibT_eX]

[DOI]

Denis Steckelmacher

CoRR, 2015

Off-Policy Reward Shaping with Ensembles.

[BibT_eX]

[DOI]

CoRR, 2015

Shaping Mario with Human Advice.

[BibT_eX]

[DOI]

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

Multi-Scale Reward Shaping via an Off-Policy Ensemble.

[BibT_eX]

[DOI]

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

Expressing Arbitrary Reward Functions as Potential-Based Advice.

[BibT_eX]

[DOI]

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

2014

Multi-objective χ-Armed bandits.

[BibT_eX]

[DOI]

Kristof Van Moffaert

Kevin Van Vaerenbergh

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-objectivization of reinforcement learning problems by reward shaping.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Off-Policy Shaping Ensembles in Reinforcement Learning.

[BibT_eX]

[DOI]

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

2013

Reinforcement Learning for Multi-purpose Schedules.

[BibT_eX]

Kristof Van Moffaert

Proceedings of the ICAART 2013, 2013

Model-free learning of wire winding control.

[BibT_eX]

[DOI]

Proceedings of the 9th Asian Control Conference, 2013

2012

Improving wet clutch engagement with reinforcement learning.

[BibT_eX]

[DOI]

Kevin Van Vaerenbergh

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

An RL approach to common-interest continuous action games.

[BibT_eX]

[DOI]

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

Game Theory and Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Reinforcement Learning, 2012

2011

Learning a pricing strategy in multi-domain DWDM networks.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE Workshop on Local & Metropolitan Area Networks, 2011

Transfer Learning for Multi-agent Coordination.

[BibT_eX]

Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 2, 2011

Adaptive State Representations for Multi-agent Reinforcement Learning.

[BibT_eX]

Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 2, 2011

Local Coordination in Online Distributed Constraint Optimization Problems.

[BibT_eX]

[DOI]

Tim Brys

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

Solving Sparse Delayed Coordination Problems in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

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

Solving delayed coordination problems in MAS.

[BibT_eX]

[DOI]

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

2010

Multi-Agent Systems and Large State Spaces.

[BibT_eX]

[DOI]

Proceedings of the Agent and Multi-agent Technology for Internet and Enterprise Systems, 2010

Analyzing the dynamics of stigmergetic interactions through pheromone games.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2010

Generalized learning automata for multi-agent reinforcement learning.

[BibT_eX]

[DOI]

AI Commun., 2010

Taking turns in general sum Markov games.

[BibT_eX]

[DOI]

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

Learning multi-agent state space representations.

[BibT_eX]

[DOI]

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

2008

Decentralized Learning in Markov Games.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2008

Using Generalized Learning Automata for State Space Aggregation in MAS.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Switching dynamics of multi-agent learning.

[BibT_eX]

[DOI]

Karl Tuyls

Ronald L. Westra

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007

Optimal Convergence in Multi-Agent MDPs.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Networks of Learning Automata and Limiting Games.

[BibT_eX]

[DOI]

Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007

2006

Analyzing Stigmergetic Algorithms Through Automata Games.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery and Emergent Complexity in Bioinformatics, 2006

Using Pheromone Repulsion to Find Disjoint Paths.

[BibT_eX]

[DOI]

Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

2005

Multi-type ACO for Light Path Protection.

[BibT_eX]

[DOI]

Kris Steenhaut

Proceedings of the Learning and Adaption in Multi-Agent Systems, 2005

A model based on ant colony system and rough set theory to feature selection.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004

Multi-type Ant Colony: The Edge Disjoint Paths Problem.

[BibT_eX]

[DOI]