Title
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems Rafael Figueiredo Prudencio Marcos R. O. A. Máximo Esther Luna Colombini OffRL 31 223 0 02 Mar 2022
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images Bang You Oleg Arenz Youping Chen Jan Peters 19 18 0 02 Mar 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction Masashi Okada T. Taniguchi 3DV OffRL 38 23 0 01 Mar 2022
TransDreamer: Reinforcement Learning with Transformer World Models Changgu Chen Yi-Fu Wu Jaesik Yoon Sungjin Ahn OffRL 37 91 0 19 Feb 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning Che Wang Xufang Luo Keith Ross Dongsheng Li OffRL 30 49 0 17 Feb 2022
Contextualize Me -- The Case for Context in Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert Aditya Mohan Sebastian Dohler André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 45 29 0 09 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery Michael Laskin Hao Liu Xue Bin Peng Denis Yarats Aravind Rajeswaran Pieter Abbeel SSL 83 66 0 01 Feb 2022
You May Not Need Ratio Clipping in PPO Mingfei Sun Vitaly Kurin Guoqing Liu Sam Devlin Tao Qin Katja Hofmann Shimon Whiteson 18 15 0 31 Jan 2022
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning Denis Yarats David Brandfonbrener Hao Liu Michael Laskin Pieter Abbeel A. Lazaric Lerrel Pinto OffRL OnRL 32 84 0 31 Jan 2022
Explaining Reinforcement Learning Policies through Counterfactual Trajectories Julius Frost Olivia Watkins Eric Weiner Pieter Abbeel Trevor Darrell Bryan A. Plummer Kate Saenko OffRL 38 5 0 29 Jan 2022
Mask-based Latent Reconstruction for Reinforcement Learning Tao Yu Zhizheng Zhang Cuiling Lan Yan Lu Zhibo Chen 29 44 0 28 Jan 2022
The Challenges of Exploration for Offline Reinforcement Learning Nathan Lambert Markus Wulfmeier William F. Whitney Arunkumar Byravan Michael Bloesch Vibhavari Dasagi Tim Hertweck Martin Riedmiller OffRL 33 27 0 27 Jan 2022
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks Chenyu Sun Hangwei Qian Chunyan Miao 18 10 0 20 Jan 2022
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning Tao Huang Jiacheng Wang Xiao Chen 39 4 0 18 Jan 2022
Analyzing Micro-Founded General Equilibrium Models with Many Agents using Deep Reinforcement Learning Michael J. Curry Alexander R. Trott Soham R. Phade Yunru Bai Stephan Zheng 49 6 0 03 Jan 2022
Transfer RL across Observation Feature Spaces via Model-Based Regularization Yanchao Sun Ruijie Zheng Xiyao Wang Andrew Cohen Furong Huang OOD OffRL 25 21 0 01 Jan 2022
SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning Hongyu Zang Xin Li Mingzhong Wang 35 13 0 31 Dec 2021
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 60 26 0 17 Dec 2021
Functional Regularization for Reinforcement Learning via Learned Fourier Features Alexander C. Li Deepak Pathak 45 17 0 06 Dec 2021
ED2: Environment Dynamics Decomposition World Models for Continuous Control Jianye Hao Yifu Yuan Cong Wang Zhen Wang OffRL 21 1 0 06 Dec 2021
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models Nitish Srivastava Walter A. Talbott Martin Bertran Lopez Shuangfei Zhai J. Susskind 43 4 0 02 Dec 2021
Characteristic Neural Ordinary Differential Equations Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 34 3 0 25 Nov 2021
Learning State Representations via Retracing in Reinforcement Learning Changmin Yu Dong Li Jianye Hao Jun Wang Neil Burgess 35 7 0 24 Nov 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 22 159 0 18 Nov 2021
Learning Representations for Pixel-based Control: What Matters and Why? Manan Tomar Utkarsh Aashu Mishra Amy Zhang Matthew E. Taylor SSL OffRL 36 24 0 15 Nov 2021
Off-policy Imitation Learning from Visual Inputs Zhihao Cheng Li Shen Dacheng Tao 20 2 0 08 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee Laura M. Smith Anca Dragan Pieter Abbeel OffRL 45 93 0 04 Nov 2021
Mastering Atari Games with Limited Data Weirui Ye Shao-Wei Liu Thanard Kurutach Pieter Abbeel Yang Gao VLM 59 226 0 30 Oct 2021
URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin Denis Yarats Hao Liu Kimin Lee Albert Zhan Kevin Lu Catherine Cang Lerrel Pinto Pieter Abbeel SSL OffRL 40 134 0 28 Oct 2021
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data Mengjiao Yang Sergey Levine Ofir Nachum OffRL 41 42 0 27 Oct 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations Fei Deng Ingook Jang Sungjin Ahn VLM 29 62 0 27 Oct 2021
Towards Robust Bisimulation Metric Learning Mete Kemertas Tristan Aumentado-Armstrong OffRL 24 44 0 27 Oct 2021
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 43 70 0 25 Oct 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents Sam Powers Eliot Xing Eric Kolve Roozbeh Mottaghi Abhinav Gupta OffRL 36 38 0 19 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 32 119 0 18 Oct 2021
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System Kai Wang Zhene Zou Minghao Zhao Qilin Deng Yue Shang Yile Liang Runze Wu Xudong Shen Tangjie Lyu Changjie Fan OffRL 31 9 0 18 Oct 2021
Learn Proportional Derivative Controllable Latent Space from Pixels Weiyao Wang Marin Kobilarov Gregory Hager 56 1 0 15 Oct 2021
The Neural MMO Platform for Massively Multiagent Research Joseph Suárez Yilun Du Clare Zhu Igor Mordatch Phillip Isola AI4CE 44 24 0 14 Oct 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 46 26 0 13 Oct 2021
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht OffRL 31 8 0 11 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 44 14 0 10 Oct 2021
Cross-Domain Imitation Learning via Optimal Transport Arnaud Fickinger Samuel N. Cohen Stuart J. Russell Brandon Amos OT 48 48 0 07 Oct 2021
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning Edoardo Cetin Oya Celiktutan OffRL 47 17 0 07 Oct 2021
Evaluating model-based planning and planner amortization for continuous control Arunkumar Byravan Leonard Hasenclever Piotr Trochim M. Berk Mirza Alessandro Davide Ialongo ... Jost Tobias Springenberg A. Abdolmaleki N. Heess J. Merel Martin Riedmiller 55 17 0 07 Oct 2021
Cycle-Consistent World Models for Domain Independent Latent Imagination Sidney Bender Tim Joseph Marius Zoellner 30 0 0 02 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning Elie Aljalbout Maximilian Ulmer Rudolph Triebel 24 2 0 02 Oct 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021
Exploratory State Representation Learning Astrid Merckling Nicolas Perrin-Gilbert Alexandre Coninx Stéphane Doncieux OffRL 51 6 0 28 Sep 2021
Making Curiosity Explicit in Vision-based RL Elie Aljalbout Maximilian Ulmer Rudolph Triebel OffRL 34 2 0 28 Sep 2021
Optimal Control via Combined Inference and Numerical Optimization Daniel Layeghi Steve Tonneau M. Mistry 21 1 0 23 Sep 2021