Reinforcement learning

Publication

Semi-analytical Industrial Cooling System Model for Reinforcement Learning

Yuri Chervonyi, Praneet Dutta, Piotr Trochim *, Octavian Voicu, Cosmin Paduraru, Crystal Qian, Emre Karagozler, Jared Quincy Davis, Richard Chippendale *, Gautam Bajaj *, Sims Witherspoon, Jerry Luo

arXiv

Download

Publication

Generalised Policy Improvement with Geometric Policy Composition

Shantanu Thakoor, Mark Rowland, Diana Borsa, Will Dabney, Remi Munos, Andre Barreto

ICML

Download

Publication

From Dirichlet to Rubin: Optimistic exploration in RL without bonuses

Daniil Tiapkin *, Denis Belomestny *, Éric Moulines *, Alexey Naumov *, Sergey Samsonov *, Yunhao Tang, Michal Valko, Pierre Menard *

ICML

Download

Publication

Active offline policy selection

Yutian Chen, Ksenia Konyushkova, Tom Paine, Caglar Gulcehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas

NeurIPS

Download

Publication

An adaptive and efficient multi-goal exploration

Jean Tarbouriech *, Omar Darwiche Domingues *, Pierre Ménard *, Matteo Pirotta *, Michal Valko, Alessandro Lazaric *

AISTATS

Download

Publication

Marginalized operators for off-policy reinforcement learning

Yunhao Tang *, Mark Rowland, Remi Munos, Michal Valko

AISTATS

Download

Publication

Your Policy Regularizer is Secretly an Adversary

Rob Brekelmans *, Tim Genewein, Jordi Grau, Grégoire Delétang, Markus Kunesch, Shane Legg, Pedro Ortega

arXiv

Download

Publication

Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO

Paul Muller, Mark Rowland, Romuald Elie, Julien Perolat, Karl Tuyls, G Piliouras *, Olivier Pietquin, M Lauriere *, Raphael Marinier *

AAMAS

Download

Publication

Online Apprenticeship Learning

Lior Shani *, Tom Zahavy, Shie Mannor *

AAAI

Download

Publication

Chaining Value Functions for Off-Policy Learning

Simon Schmitt, John Shawe-Taylor *, Hado van Hasselt

AAAI

Download

Publication

Assessing Human Interaction in Virtual Reality with Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study

Dylan Brenneis, Andrew Butcher, Elnaz Davoodi, Mike Johanson, Leslie Acker, Matt Botvinick, Joseph Modayil, Adam White, Patrick Pilarski, Adam S. R. Parker *

arXiv

Download

Publication

Model-Value Self-Inconsistency as a Signal for Epistemic Uncertainty

Angelos Filos, Eszter Vértes, Zita Marinho, Greg Farquhar, Diana Borsa, Abe Friesen, Feryal Behbahani, Tom Schaul, Andre Barreto, Simon Osindero

ICML

Download

Publication

On the Expressivity of Markov Reward

David Abel, Doina Precup, Anna Harutyunyan, Mark Ho *, Michael Littman *, Will Dabney, Satinder Baveja

NeurIPS

Download

Publication

The Difficulty of Passive Learning in Deep Reinforcement Learning

Georg Ostrovski, P Castro *, Will Dabney

NeurIPS

Download

Publication

Importance of Representation Learning for Off-Policy Fitted Q-Evaluation

Xian Wu *, Nevena Lazic, Dong Yin, Cosmin Paduraru

NeurIPS Workshop

Download

Publication

Towards mental time travel: a hierarchical memory for reinforcement learning agents

Andrew Lampinen, Stephanie Chan, Andrea Banino, Felix Hill

NeurIPS

Download

Publication

When should agents explore?

Tom Schaul, Georg Ostrovski, Diana Borsa, David Szepesvari, Miruna Pislar

ICLR

Download

Publication

Temporally Abstract Partial Models

Khimya Khetarpal *, Zafarali Ahmed, Gheorghe Comanici, Doina Precup

NeurIPS

Download

Publication

Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning

Justin Fu, Andrea Tacchetti, Julien Perolat, Yoram Bachrach

The Journal of Artificial Intelligence Research

Download

Publication

Improved Chinese Sentence Segmentation with Reinforcement Learning

Srivatsan Srinivasan, Chris Dyer

ACL

Download

Publication

Revisiting Peng's Q(λ) for modern reinforcement learning

Tadashi Kozuno *, Yunhao Tang *, Mark Rowland, Remi Munos, Steven Kapturowski, Will Dabney, Michal Valko, David Abel

ICML

Download

Publication

Taylor expansions of discount factors

Yunhao Tang *, Remi Munos, Mark Rowland, Michal Valko

ICML

Download

Publication

Kernel-based reinforcement Learning: A finite-time analysis

O Domingues *, Pierre Menard *, Matteo Pirotta *, Emilie Kaufmann *, Michal Valko

ICML

Download

Publication

PsiPhi: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning

Angelos Filos, Clare Lyle *, Yarin Gal *, Sergey Levine *, Natasha Jaques *, Greg Farquhar

ICML

Download

Publication

Unifying gradient estimators for meta-reinforcement learning via off-policy evaluation

Yunhao Tang, Tadashi Kozuno *, Mark Rowland, Remi Munos, Michal Valko

NeurIPS

Download

Publications

Reinforcement learning