Title
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 67 55 0 28 Sep 2021
Event-Based Communication in Distributed Q-Learning Daniel Jarne Ornia M. Mazo 33 1 0 03 Sep 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 146 0 26 Aug 2021
Parallelized Reverse Curriculum Generation Zih-Yun Chiu Yi-Lin Tuan Hung-yi Lee Li-Chen Fu 22 1 0 04 Aug 2021
Maximum Entropy Dueling Network Architecture in Atari Domain Alireza Nadali M. Ebadzadeh 21 0 0 30 Jul 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 42 89 0 14 Jul 2021
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT Wanlu Lei Yu Ye Ming Xiao Mikael Skoglund Zhu Han 26 1 0 30 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
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning Ming Zhou Bo Liu Hanjing Wang Muning Wen Runzhe Wu Ying Wen Yaodong Yang Weinan Zhang Jun Wang OffRL 27 46 0 05 Jun 2021
APPL: Adaptive Planner Parameter Learning Xuesu Xiao Zizhao Wang Zifan Xu Bo Liu Garrett A. Warnell Gauraang Dhamankar Anirudh Nair Peter Stone 31 50 0 17 May 2021
Podracer architectures for scalable Reinforcement Learning Matteo Hessel M. Kroiss Aidan Clark Iurii Kemaev John Quan Thomas Keck Fabio Viola H. V. Hasselt 24 38 0 13 Apr 2021
Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation Matteo Dunnhofer N. Martinel C. Micheloni 21 16 0 26 Mar 2021
Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation Abhimanyu Dubey Alex Pentland 30 23 0 08 Mar 2021
Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning Hidenori Itaya Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi K. Sugiura 45 18 0 06 Mar 2021
Decision Making in Monopoly using a Hybrid Deep Reinforcement Learning Approach Trevor Bonjour Marina Haliem A. Alsalem Shilpa Thomas Hongyu Li Vaneet Aggarwal Mayank Kejriwal Bharat K. Bhargava 50 14 0 01 Mar 2021
Communication Efficient Parallel Reinforcement Learning Mridul Agarwal Bhargav Ganguly Vaneet Aggarwal 58 9 0 22 Feb 2021
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads James Gleeson Srivatsan Krishnan Moshe Gabel Vijay Janapa Reddi Eyal de Lara Gennady Pekhimenko OffRL 12 11 0 08 Feb 2021
Coding for Distributed Multi-Agent Reinforcement Learning Baoqian Wang Junfei Xie Nikolay Atanasov 38 4 0 07 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
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
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
APPLR: Adaptive Planner Parameter Learning from Reinforcement Zifan Xu Gauraang Dhamankar Anirudh Nair Xuesu Xiao Garrett A. Warnell Bo Liu Zizhao Wang Peter Stone 25 54 0 01 Nov 2020
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators Yasuhiro Fujita Kota Uenishi Avinash Ummadisingu P. Nagarajan Shimpei Masuda M. Castro 32 18 0 16 Jul 2020
Tracking-by-Trackers with a Distilled and Reinforced Model Matteo Dunnhofer N. Martinel C. Micheloni VOT OffRL 27 4 0 08 Jul 2020
Local Stochastic Approximation: A Unified View of Federated Learning and Distributed Multi-Task Reinforcement Learning Algorithms Thinh T. Doan FedML 17 9 0 24 Jun 2020
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning Sihan Zeng Aqeel Anwar Thinh T. Doan A. Raychowdhury Justin Romberg 27 39 0 08 Jun 2020
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization T. Matsushima Hiroki Furuta Y. Matsuo Ofir Nachum S. Gu OffRL 25 147 0 05 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 65 225 0 01 Jun 2020
From Simulation to Real World Maneuver Execution using Deep Reinforcement Learning Alessandro Paolo Capasso Giulio Bacchiani A. Broggi 28 4 0 13 May 2020
Discrete-to-Deep Supervised Policy Learning B. Kurniawan Peter Vamplew Michael Papasimeon Richard Dazeley Cameron Foale OffRL 16 3 0 05 May 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 352 0 27 Apr 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods Jiale Zhi Rui Wang Jeff Clune Kenneth O. Stanley OffRL 30 12 0 25 Mar 2020
Taylor Expansion Policy Optimization Yunhao Tang Michal Valko Rémi Munos OffRL 22 14 0 13 Mar 2020
On Catastrophic Interference in Atari 2600 Games W. Fedus Dibya Ghosh John D. Martin Marc G. Bellemare Yoshua Bengio Hugo Larochelle 18 26 0 28 Feb 2020
Locally Private Distributed Reinforcement Learning Hajime Ono Tsubasa Takahashi OffRL 17 22 0 31 Jan 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 61 132 0 27 Jan 2020
Population-Guided Parallel Policy Search for Reinforcement Learning Whiyoung Jung Giseung Park Y. Sung OffRL 24 38 0 09 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks Michael Luo Jiahao Yao Richard Liaw Eric Liang Ion Stoica 30 15 0 30 Nov 2019
Robo-PlaNet: Learning to Poke in a Day Maxime Chevalier-Boisvert Guillaume Alain Florian Golemo Derek Nowrouzezahrai 20 2 0 09 Nov 2019
Experience Sharing Between Cooperative Reinforcement Learning Agents Lucas O. Souza G. Ramos C. Ralha 27 9 0 06 Nov 2019
Asynchronous Methods for Model-Based Reinforcement Learning Yunzhi Zhang I. Clavera Bo-Yu Tsai Pieter Abbeel OffRL 19 27 0 28 Oct 2019
Convergent Policy Optimization for Safe Reinforcement Learning Ming Yu Zhuoran Yang Mladen Kolar Zhaoran Wang 18 91 0 26 Oct 2019
Relationship Explainable Multi-objective Optimization Via Vector Value Function Based Reinforcement Learning Huixin Zhan Yongcan Cao 19 7 0 02 Oct 2019
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning Srivatsan Krishnan Maximilian Lam Sharad Chitlangia Zishen Wan Gabriel Barth-Maron Aleksandra Faust Vijay Janapa Reddi MQ 29 23 0 02 Oct 2019
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning Linxi Fan Yuke Zhu Jiren Zhu Zihua Liu Orien Zeng Anchit Gupta Joan Creus-Costa Silvio Savarese Li Fei-Fei OffRL GNN 46 3 0 27 Sep 2019
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation Huixin Zhan Yongcan Cao 19 2 0 26 Sep 2019
Off-Policy Actor-Critic with Shared Experience Replay Simon Schmitt Matteo Hessel Karen Simonyan OffRL 27 68 0 25 Sep 2019
A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Heriberto Cuayáhuitl OffRL 32 17 0 27 Aug 2019