Title
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 110 0 0 04 Feb 2023
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Robust Policy Learning over Multiple Uncertainty Sets Annie Xie Shagun Sodhani Chelsea Finn Joelle Pineau Amy Zhang OOD OffRL 62 19 0 14 Feb 2022
Reinforcement Learning in Presence of Discrete Markovian Context Evolution Hang Ren Aivar Sootla Taher Jafferjee Junxiao Shen Jun Wang Haitham Bou-Ammar BDL OffRL 63 11 0 14 Feb 2022
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 109 27 0 13 Oct 2021
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Bayesian Bellman Operators M. Fellows Kristian Hartikainen Shimon Whiteson OffRL 68 17 0 09 Jun 2021
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection L. N. Alegre A. Bazzan Bruno C. da Silva OffRL 54 23 0 20 May 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity Riccardo Poiani Andrea Tirinzoni Marcello Restelli OffRL 80 10 0 18 May 2021
MELD: Meta-Reinforcement Learning from Images via Latent State Models Tony Zhao Anusha Nagabandi Kate Rakelly Chelsea Finn Sergey Levine OffRL 84 35 0 26 Oct 2020
Towards Safe Policy Improvement for Non-Stationary MDPs Yash Chandak Scott M. Jordan Georgios Theocharous Martha White Philip S. Thomas OffRL 95 34 0 23 Oct 2020
Optimizing for the Future in Non-Stationary MDPs Yash Chandak Georgios Theocharous Shiv Shankar Martha White Sridhar Mahadevan Philip S. Thomas OffRL 52 65 0 17 May 2020
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization Pierre-Alexandre Kamienny Matteo Pirotta A. Lazaric Thibault Lavril Nicolas Usunier Ludovic Denoyer 79 18 0 06 May 2020
Variational Recurrent Models for Solving Partially Observable Control Tasks Dongqi Han Kenji Doya Jun Tani DRL OffRL 57 63 0 23 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 124 1,371 0 03 Dec 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 63 278 0 18 Oct 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 112 128 0 15 May 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 83 660 0 19 Mar 2019
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi Chelsea Finn Sergey Levine OffRL CLL 97 191 0 18 Dec 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 88 1,446 0 12 Nov 2018
World Models David R Ha Jürgen Schmidhuber SyDa 143 1,098 0 27 Mar 2018
Learning and Querying Fast Generative Models for Reinforcement Learning Lars Buesing T. Weber S. Racanière S. M. Ali Eslami Danilo Jimenez Rezende ... Fabio Viola F. Besse Karol Gregor Demis Hassabis Daan Wierstra OffRL 75 135 0 08 Feb 2018
Probabilistic Recurrent State-Space Models Andreas Doerr Christian Daniel Martin Schiegg D. Nguyen-Tuong S. Schaal Marc Toussaint Sebastian Trimpe 69 123 0 31 Jan 2018
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel CLL 69 354 0 10 Oct 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 107 2,268 0 06 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 526 19,237 0 20 Jul 2017
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data Maximilian Karl Maximilian Sölch Justin Bayer Patrick van der Smagt BDL 53 0 0 20 May 2016
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 73 374 0 16 Nov 2015
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 108 1,684 0 23 Jul 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,793 0 19 Feb 2015
Contextual Markov Decision Processes Assaf Hallak Dotan Di Castro Shie Mannor 89 248 0 08 Feb 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,370 0 03 Jun 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,261 0 19 Dec 2013
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