Title
An Exploration of Deep Learning Methods in Hungry Geese Nikzad Khani Matthew Kluska 17 0 0 05 Sep 2021
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms Ruizhi Chen Xiaoyu Wu Yansong Pan Kaizhao Yuan Ling Li ... Shaohui Peng Xishan Zhang Zidong Du Qi Guo Yunji Chen OffRL 39 3 0 04 Sep 2021
Boosting Search Engines with Interactive Agents Leonard Adolphs Benjamin Boerschinger Christian Buck Michelle Chen Huebscher Massimiliano Ciaramita ... Thomas Hofmann Yannic Kilcher Sascha Rothe Pier Giuseppe Sessa Lierni Sestorain Saralegui LLMAG 31 24 0 01 Sep 2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation Tiantian Zhang Xueqian Wang Bin Liang Bo Yuan OffRL 40 18 0 01 Sep 2021
WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU Tian-Shing Lan Sunil Srinivasa Huan Wang Stephan Zheng AI4CE 24 13 0 31 Aug 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 61 639 0 30 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 146 0 26 Aug 2021
Truncated Emphatic Temporal Difference Methods for Prediction and Control Shangtong Zhang Shimon Whiteson OffRL 28 11 0 11 Aug 2021
Rethinking of AlphaStar Ruoxi Liu 29 2 0 07 Aug 2021
Learning more skills through optimistic exploration D. Strouse Kate Baumli David Warde-Farley Vlad Mnih Steven Hansen SSL 13 45 0 29 Jul 2021
Lyapunov-based uncertainty-aware safe reinforcement learning Ashkan B. Jeddi Nariman L. Dehghani A. Shafieezadeh 22 7 0 29 Jul 2021
Accelerating Quadratic Optimization with Reinforcement Learning Jeffrey Ichnowski Paras Jain Bartolomeo Stellato G. Banjac Michael Luo Francesco Borrelli Joseph E. Gonzalez Ion Stoica Ken Goldberg OffRL 21 36 0 22 Jul 2021
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration Lukas Schafer Filippos Christianos Josiah P. Hanna Stefano V. Albrecht 50 22 0 19 Jul 2021
Megaverse: Simulating Embodied Agents at One Million Experiences per Second Aleksei Petrenko Erik Wijmans Brennan Shacklett V. Koltun LM&Ro VGen 31 22 0 17 Jul 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z. Leibo Edgar A. Duénez-Guzmán A. Vezhnevets J. Agapiou P. Sunehag Raphael Köster Jayd Matyas Charlie Beattie Igor Mordatch T. Graepel OffRL 58 104 0 14 Jul 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks Sungryull Sohn Sungtae Lee Jongwook Choi H. V. Seijen Mehdi Fatemi Honglak Lee 182 3 0 13 Jul 2021
Learning Expected Emphatic Traces for Deep RL Ray Jiang Shangtong Zhang Veronica Chelu Adam White Hado van Hasselt OffRL 35 12 0 12 Jul 2021
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers Ruihan Yang Minghao Zhang Nicklas Hansen Huazhe Xu Xiaolong Wang OffRL 23 102 0 08 Jul 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 39 66 0 08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 36 112 0 07 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 27 6 0 07 Jul 2021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Erdun Gao Fan Feng Chaochao Lu Sara Magliacane Kun Zhang 44 66 0 06 Jul 2021
Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems Shashank Hegde Anssi Kanervisto Aleksei Petrenko VLM 13 9 0 05 Jul 2021
MixStyle Neural Networks for Domain Generalization and Adaptation Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD TTA 31 76 0 05 Jul 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction Assaf Hallak Gal Dalal Steven Dalton I. Frosio Shie Mannor Gal Chechik OffRL OnRL 35 9 0 04 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 44 135 0 01 Jul 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL Jack Parker-Holder Vu Nguyen Shaan Desai Stephen J. Roberts 43 16 0 30 Jun 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 41 275 0 29 Jun 2021
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation Hanping Zhang Yuhong Guo 30 23 0 29 Jun 2021
Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft I. Kanitscheider Joost Huizinga David Farhi William H. Guss Brandon Houghton ... Bowen Baker Adrien Ecoffet Jie Tang Oleg Klimov Jeff Clune 29 21 0 28 Jun 2021
Habitat 2.0: Training Home Assistants to Rearrange their Habitat Andrew Szot Alexander Clegg Eric Undersander Erik Wijmans Yili Zhao ... Z. Kira V. Koltun Jitendra Malik Manolis Savva Dhruv Batra LM&Ro 39 502 0 28 Jun 2021
Graph Convolutional Memory using Topological Priors Steven D. Morad Stephan Liwicki Ryan Kortvelesy R. Mecca Amanda Prorok 23 0 0 27 Jun 2021
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation C. Freeman Erik Frey Anton Raichuk Sertan Girgin Igor Mordatch Olivier Bachem 48 355 0 24 Jun 2021
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation Yunhao Tang Tadashi Kozuno Mark Rowland Rémi Munos Michal Valko OffRL 27 9 0 24 Jun 2021
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators Zaiwei Chen S. T. Maguluri Sanjay Shakkottai Karthikeyan Shanmugam OffRL 39 11 0 24 Jun 2021
Emphatic Algorithms for Deep Reinforcement Learning Ray Jiang Tom Zahavy Zhongwen Xu Adam White Matteo Hessel Charles Blundell Hado van Hasselt OffRL 41 19 0 21 Jun 2021
Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling Mengdi Xu Peide Huang Fengpei Li Jiacheng Zhu Xuewei Qi K. Oguchi Zhiyuan Huang Henry Lam Ding Zhao 16 4 0 19 Jun 2021
Proper Value Equivalence Christopher Grimm André Barreto Gregory Farquhar David Silver Satinder Singh OffRL 29 33 0 18 Jun 2021
Multi-Task Learning for User Engagement and Adoption in Live Video Streaming Events Stefanos Antaris Dimitrios Rafailidis Romina Arriaza OffRL 17 0 0 18 Jun 2021
MADE: Exploration via Maximizing Deviation from Explored Regions Tianjun Zhang Paria Rashidinejad Jiantao Jiao Yuandong Tian Joseph E. Gonzalez Stuart J. Russell OffRL 36 42 0 18 Jun 2021
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings Eugene Vinitsky Raphael Köster J. Agapiou Edgar A. Duénez-Guzmán A. Vezhnevets Joel Z. Leibo 32 37 0 16 Jun 2021
Towards Automatic Actor-Critic Solutions to Continuous Control J. E. Grigsby Jinsu Yoo Yanjun Qi OffRL 25 6 0 16 Jun 2021
Deep Reinforcement Learning for Conservation Decisions Marcus Lapeyrolerie Melissa S. Chapman Kari E. A. Norman C. Boettiger OffRL 25 16 0 15 Jun 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 33 57 0 11 Jun 2021
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning Jiajun Fan Changnan Xiao Yue Huang OffRL 21 10 0 11 Jun 2021
Taylor Expansion of Discount Factors Yunhao Tang Mark Rowland Rémi Munos Michal Valko OffRL 34 5 0 11 Jun 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha Jingru Xie Wenye Ma Sheng Zhang Xiangru Lian Xia Hu Ji Liu 25 117 0 11 Jun 2021
Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games Xiangyu Liu Hangtian Jia Ying Wen Yaodong Yang Yujing Hu Yingfeng Chen Changjie Fan Zhipeng Hu 28 18 0 09 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville OffRL 47 114 0 09 Jun 2021
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning Nathan Grinsztajn Johan Ferret Olivier Pietquin Philippe Preux M. Geist SSL 42 14 0 08 Jun 2021