Title
Communication Efficient Parallel Reinforcement Learning Mridul Agarwal Bhargav Ganguly Vaneet Aggarwal 58 9 0 22 Feb 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning Roberta Raileanu Rob Fergus DRL OffRL 24 95 0 20 Feb 2021
On Proximal Policy Optimization's Heavy-tailed Gradients Saurabh Garg Joshua Zhanson Emilio Parisotto Adarsh Prasad J. Zico Kolter Zachary Chase Lipton Sivaraman Balakrishnan Ruslan Salakhutdinov Pradeep Ravikumar 27 11 0 20 Feb 2021
Adaptive Rational Activations to Boost Deep Reinforcement Learning Quentin Delfosse P. Schramowski Martin Mundt Alejandro Molina Kristian Kersting 42 15 0 18 Feb 2021
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm S. Khodadadian Zaiwei Chen S. T. Maguluri CML OffRL 74 26 0 18 Feb 2021
End-to-End Egospheric Spatial Memory Daniel Lenton Stephen James R. Clark Andrew J. Davison 24 5 0 15 Feb 2021
Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning Jaskirat Singh Liang Zheng OffRL 21 3 0 14 Feb 2021
Modelling Cooperation in Network Games with Spatio-Temporal Complexity Michiel A. Bakker Richard Everett Laura Weidinger Iason Gabriel William S. Isaac Joel Z. Leibo Edward Hughes 16 5 0 13 Feb 2021
Discovery of Options via Meta-Learned Subgoals Vivek Veeriah Tom Zahavy Matteo Hessel Zhongwen Xu Junhyuk Oh Iurii Kemaev H. V. Hasselt David Silver Satinder Singh 29 33 0 12 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency Florian E. Dorner 25 12 0 09 Feb 2021
Reverb: A Framework For Experience Replay Albin Cassirer Gabriel Barth-Maron E. Brevdo Sabela Ramos Toby Boyd Thibault Sottiaux M. Kroiss VLM OffRL 32 38 0 09 Feb 2021
Adversarially Guided Actor-Critic Yannis Flet-Berliac Johan Ferret Olivier Pietquin Philippe Preux M. Geist 35 71 0 08 Feb 2021
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning Zhengyao Jiang Pasquale Minervini Minqi Jiang Tim Rocktaschel AI4CE 24 7 0 08 Feb 2021
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents Jane X. Wang Michael King Nicolas Porcel Z. Kurth-Nelson Tina Zhu ... Neil C. Rabinowitz Loic Matthey Demis Hassabis Alexander Lerchner M. Botvinick OffRL 23 30 0 04 Feb 2021
Neural Recursive Belief States in Multi-Agent Reinforcement Learning Pol Moreno Edward Hughes Kevin R. McKee Bernardo Avila-Pires T. Weber 31 21 0 03 Feb 2021
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants Zaiwei Chen S. T. Maguluri Sanjay Shakkottai Karthikeyan Shanmugam OffRL 105 54 0 02 Feb 2021
Acting in Delayed Environments with Non-Stationary Markov Policies E. Derman Gal Dalal Shie Mannor 27 34 0 28 Jan 2021
Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm S. Khodadadian Thinh T. Doan Justin Romberg S. T. Maguluri 40 42 0 26 Jan 2021
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning Juhyoung Lee Sangyeob Kim Sangjin Kim Wooyoung Jo H. Yoo OffRL 29 9 0 24 Jan 2021
Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning Paul Garnier T. Gregoir OffRL 27 12 0 13 Jan 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 82 76 0 13 Jan 2021
Geometric Entropic Exploration Z. Guo M. G. Azar Alaa Saade S. Thakoor Bilal Piot Bernardo Avila-Pires Michal Valko Thomas Mesnard Tor Lattimore Rémi Munos 38 30 0 06 Jan 2021
Reinforcement Learning with Latent Flow Wenling Shang Xiaofei Wang A. Srinivas Aravind Rajeswaran Yang Gao Pieter Abbeel Michael Laskin OffRL 31 23 0 06 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Min Zhang OffRL 60 73 0 01 Jan 2021
Towards Understanding Asynchronous Advantage Actor-critic: Convergence and Linear Speedup Han Shen Kaipeng Zhang Min-Fong Hong Tianyi Chen 35 28 0 31 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 56 311 0 25 Dec 2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 27 4 0 24 Dec 2020
Augmenting Policy Learning with Routines Discovered from a Single Demonstration Zelin Zhao Chuang Gan Jiajun Wu Xiaoxiao Guo J. Tenenbaum OffRL 24 5 0 23 Dec 2020
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner Rinu Boney Alexander Ilin Arno Solin Jarno Seppänen 9 3 0 22 Dec 2020
High-Throughput Synchronous Deep RL Iou-Jen Liu Raymond A. Yeh Alex Schwing OffRL 30 12 0 17 Dec 2020
Planning from Pixels in Atari with Learned Symbolic Representations Andrea Dittadi Frederik K. Drachmann Thomas Bolander 28 11 0 16 Dec 2020
How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget Erik Wijmans Irfan Essa Dhruv Batra 3DPC 32 10 0 11 Dec 2020
Flatland-RL : Multi-Agent Reinforcement Learning on Trains Sharada Mohanty Erik Nygren Florian Laurent Manuel Schneider Christian Scheller ... Christian Baumberger Gereon Vienken Irene Sturm Guillaume Sartoretti G. Spigler OffRL 47 58 0 10 Dec 2020
Imitating Interactive Intelligence Josh Abramson Arun Ahuja Iain Barr Arthur Brussee Federico Carnevale ... Greg Wayne Duncan Williams Nathaniel Wong Chen Yan Rui Zhu LM&Ro 24 71 0 10 Dec 2020
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search Kyunghyun Lee Byeong-uk Lee Ukcheol Shin In So Kweon 30 22 0 10 Dec 2020
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems A. Inci Evgeny Bolotin Yaosheng Fu Gal Dalal Shie Mannor D. Nellans Diana Marculescu AI4CE 17 13 0 08 Dec 2020
Planning from Pixels using Inverse Dynamics Models Keiran Paster Sheila A. McIlraith Jimmy Ba BDL 14 41 0 04 Dec 2020
Optimizing the Neural Architecture of Reinforcement Learning Agents Nina Mazyavkina S. Moustafa I. Trofimov Evgeny Burnaev AI4CE 17 4 0 30 Nov 2020
Reinforcement Learning for Robust Missile Autopilot Design Bernardo Cortez 16 2 0 26 Nov 2020
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning Peng Sun Jiechao Xiong Lei Han Xinghai Sun Shuxing Li Jiawei Xu Meng Fang Zhengyou Zhang OffRL LRM 33 19 0 25 Nov 2020
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem Eric Liang Zhanghao Wu Michael Luo Sven Mika Joseph E. Gonzalez Ion Stoica AI4CE 23 9 0 25 Nov 2020
Towards Playing Full MOBA Games with Deep Reinforcement Learning Deheng Ye Guibin Chen Wen Zhang Sheng Chen Bo Yuan ... Tengfei Shi Qiang Fu Wei Yang Lanxiao Huang Wei Liu 22 180 0 25 Nov 2020
Enhanced Scene Specificity with Sparse Dynamic Value Estimation Jaskirat Singh Liang Zheng 29 0 0 25 Nov 2020
Generative Adversarial Simulator Jonathan Raiman GAN 13 0 0 23 Nov 2020
Distributed Deep Reinforcement Learning: An Overview Mohammad Reza Samsami Hossein Alimadad OffRL 14 27 0 22 Nov 2020
Using Unity to Help Solve Intelligence Tom Ward Andrew Bolt Nik Hemmings Simon Carter Manuel Sanchez ... Jay Lemmon J. Coe Piotr Trochim T. Handley Adrian Bolton 27 18 0 18 Nov 2020
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking Fabio Pardo OffRL 10 31 0 15 Nov 2020
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning Jiajun Fan He Ba Xian Guo Jianye Hao OffRL 21 5 0 13 Nov 2020
Hierarchical Reinforcement Learning for Relay Selection and Power Optimization in Two-Hop Cooperative Relay Network Yuanzhe Geng Erwu Liu Rui Wang Yiming Liu 16 0 0 10 Nov 2020
Deep reinforcement learning for RAN optimization and control Yu Chen Jie Chen G. Krishnamurthi Huijing Yang Huahui Wang Wenjie Zhao 19 1 0 09 Nov 2020