Title
Semantic Exploration from Language Abstractions and Pretrained Representations Allison C. Tam Neil C. Rabinowitz Andrew Kyle Lampinen Nicholas A. Roy Stephanie C. Y. Chan D. Strouse Jane X. Wang Andrea Banino Felix Hill LM&Ro 44 68 0 08 Apr 2022
Federated Reinforcement Learning with Environment Heterogeneity Hao Jin Yang Peng Wenhao Yang Shusen Wang Zhihua Zhang 65 68 0 06 Apr 2022
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors Steven Bohez S. Tunyasuvunakool Philemon Brakel Fereshteh Sadeghi Leonard Hasenclever ... Nathan Batchelor Federico Casarini J. Merel R. Hadsell N. Heess 43 51 0 31 Mar 2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation Yang Guan Minghuan Liu Weijun Hong Weinan Zhang Fei Fang Guangjun Zeng Yue Lin 33 26 0 30 Mar 2022
Marginalized Operators for Off-policy Reinforcement Learning Yunhao Tang Mark Rowland Rémi Munos Michal Valko OffRL 32 0 0 30 Mar 2022
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots Yufeng Yuan Rupam Mahmood OffRL 36 19 0 23 Mar 2022
Insights From the NeurIPS 2021 NetHack Challenge Eric Hambro Sharada Mohanty Dmitrii Babaev Mi-Ra Byeon Dipam Chakraborty ... Dan Rothermel Mikayel Samvelyan Dmitry Sorokin Maciej Sypetkowski Michal Sypetkowski 25 19 0 22 Mar 2022
Tactile Pose Estimation and Policy Learning for Unknown Object Manipulation Tarik Kelestemur Robert Platt T. Padır 33 32 0 21 Mar 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 39 44 0 17 Mar 2022
Zipfian environments for Reinforcement Learning Stephanie C. Y. Chan Andrew Kyle Lampinen Pierre Harvey Richemond Felix Hill OffRL 17 15 0 15 Mar 2022
Switch Trajectory Transformer with Distributional Value Approximation for Multi-Task Reinforcement Learning Qinjie Lin Han Liu B. Sengupta OffRL 32 11 0 14 Mar 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 41 226 0 09 Mar 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control Simone Parisi Aravind Rajeswaran Senthil Purushwalkam Abhinav Gupta LM&Ro 36 187 0 07 Mar 2022
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment Diogo S. Carvalho B. Sengupta 33 2 0 06 Mar 2022
AutoDIME: Automatic Design of Interesting Multi-Agent Environments I. Kanitscheider Harrison Edwards 32 0 0 04 Mar 2022
Avalanche RL: a Continual Reinforcement Learning Library Nicolo Lucchesi Antonio Carta Vincenzo Lomonaco Davide Bacciu 42 6 0 28 Feb 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? Alain Andres Esther Villar-Rodriguez Javier Del Ser 22 9 0 24 Feb 2022
Improving Intrinsic Exploration with Language Abstractions Jesse Mu Victor Zhong Roberta Raileanu Minqi Jiang Noah D. Goodman Tim Rocktaschel Edward Grefenstette 103 63 0 17 Feb 2022
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned Anssi Kanervisto Stephanie Milani Karolis Ramanauskas Nicholay Topin Zichuan Lin ... Franccois Fleuret Alexander Nikulin Yury Belousov Oleg Svidchenko A. Shpilman OffRL 60 32 0 17 Feb 2022
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms Romain Laroche Rémi Tachet des Combes 51 2 0 15 Feb 2022
Compute Trends Across Three Eras of Machine Learning J. Sevilla Lennart Heim A. Ho T. Besiroglu Marius Hobbhahn Pablo Villalobos 39 272 0 11 Feb 2022
A Modern Self-Referential Weight Matrix That Learns to Modify Itself Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 21 26 0 11 Feb 2022
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent Daoming Lyu Bo Liu Jianshu Chen LRM 38 1 0 01 Feb 2022
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies Carlos Güemes-Palau Paul Almasan Shihan Xiao Xiangle Cheng Xiang Shi Pere Barlet-Ros A. Cabellos-Aparicio 37 9 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 21 15 0 31 Jan 2022
DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software Chuan-Yung Tsai Graham W. Taylor 11 2 0 29 Jan 2022
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation Martín Bertrán Walter A. Talbott Nitish Srivastava J. Susskind 50 3 0 28 Jan 2022
Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods Niklas Höpner Ilaria Tiddi H. V. Hoof 42 3 0 28 Jan 2022
Chaining Value Functions for Off-Policy Learning Simon Schmitt John Shawe-Taylor Hado van Hasselt OffRL 28 2 0 17 Jan 2022
Weakly Supervised Scene Text Detection using Deep Reinforcement Learning Emanuel Metzenthin Christian Bartz Christoph Meinel OffRL 38 2 0 13 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 38 100 0 11 Jan 2022
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models Alexander Pan Kush S. Bhatia Jacob Steinhardt 58 172 0 10 Jan 2022
Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria Kavya Kopparapu Edgar A. Duénez-Guzmán Jayd Matyas A. Vezhnevets J. Agapiou Kevin R. McKee Richard Everett J. Marecki Joel Z. Leibo T. Graepel 22 7 0 05 Jan 2022
Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving Environment Aizaz Sharif D. Marijan 24 5 0 22 Dec 2021
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment E. Beeching Maxim Peter Philippe Marcotte Jilles Debangoye Olivier Simonin Joshua Romoff Christian Wolf 16 5 0 22 Dec 2021
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning Wilka Carvalho Andrew Kyle Lampinen Kyriacos Nikiforou Felix Hill Murray Shanahan OffRL 45 0 0 15 Dec 2021
Learning Generalizable Behavior via Visual Rewrite Rules Yiheng Xie Mingxuan Li Shangqun Yu Michael Littman DRL 19 1 0 09 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 33 16 0 08 Dec 2021
A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions Jiajun Fan OffRL 34 19 0 08 Dec 2021
Tell me why! Explanations support learning relational and causal structure Andrew Kyle Lampinen Nicholas A. Roy Ishita Dasgupta Stephanie C. Y. Chan Allison C. Tam ... Chen Yan Adam Santoro Neil C. Rabinowitz Jane X. Wang Felix Hill 40 45 0 07 Dec 2021
Godot Reinforcement Learning Agents E. Beeching Jilles Debangoye Olivier Simonin Christian Wolf GP OnRL 24 5 0 07 Dec 2021
Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft Vinicius G. Goecks Nicholas R. Waytowich David Watkins Bharat Prakash 18 7 0 07 Dec 2021
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks Linghui Meng Muning Wen Yaodong Yang Chenyang Le Xiyun Li Weinan Zhang Ying Wen Haifeng Zhang Jun Wang Bo Xu OffRL 31 38 0 06 Dec 2021
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions Bogdan Mazoure Ilya Kostrikov Ofir Nachum Jonathan Tompson OffRL 51 21 0 29 Nov 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi Victoria Dean Deepak Pathak Abhinav Gupta LM&Ro 44 50 0 25 Nov 2021
How does AI play football? An analysis of RL and real-world football strategies Atom Scott Keisuke Fujii Masaki Onishi 78 13 0 24 Nov 2021
Off-Policy Correction For Multi-Agent Reinforcement Learning Michał Zawalski Bla.zej Osiñski Henryk Michalewski Piotr Milo's OffRL 32 2 0 22 Nov 2021
Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari Dominik Schmidt Thomas Schmied OffRL 28 12 0 19 Nov 2021
AI in Human-computer Gaming: Techniques, Challenges and Opportunities Qiyue Yin Jun Yang Kaiqi Huang Meijing Zhao Wancheng Ni Bin Liang Yan Huang Shu Wu Liangsheng Wang 23 20 0 15 Nov 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 16 37 0 12 Nov 2021