Title
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 20 2 0 08 Nov 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 57 14 0 05 Jul 2024
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems Kailash Gogineni Sai Santosh Dayapule Juan Gómez Luna Karthikeya Gogineni Peng Wei Tian-Shing Lan Mohammad Sadrosadati Onur Mutlu Guru Venkataramani 42 10 0 07 May 2024
A Minimaximalist Approach to Reinforcement Learning from Human Feedback Gokul Swamy Christoph Dann Rahul Kidambi Zhiwei Steven Wu Alekh Agarwal OffRL 28 94 0 08 Jan 2024
Spreeze: High-Throughput Parallel Reinforcement Learning Framework Jing Hou Guang Chen Ruiqi Zhang Zhijun Li Shangding Gu Changjun Jiang OffRL 14 2 0 11 Dec 2023
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models Hanjing Wang Man-Kit Sit Cong He Ying Wen Weinan Zhang J. Wang Yaodong Yang Luo Mai OffRL VLM 27 1 0 08 Oct 2023
Android in the Wild: A Large-Scale Dataset for Android Device Control Christopher Rawles Alice Li Daniel Rodriguez Oriana Riva Timothy Lillicrap LM&Ro 16 137 0 19 Jul 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control Tom Dupuis Jaonary Rabarisoa Q. C. Pham David Filliat 25 0 0 14 Jun 2023
Coherent Soft Imitation Learning Joe Watson Sandy H. Huang Nicholas Heess 30 11 0 25 May 2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning Geoffrey Cideron B. Tabanpour Sebastian Curi Sertan Girgin Léonard Hussenot Gabriel Dulac-Arnold M. Geist Olivier Pietquin Robert Dadashi OOD 76 2 0 02 May 2023
Optimal Transport for Offline Imitation Learning Yicheng Luo Zhengyao Jiang Samuel N. Cohen Edward Grefenstette M. Deisenroth OffRL 22 26 0 24 Mar 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney M. Benosman OOD OffRL 22 5 0 30 Jan 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 15 4 0 29 Jan 2023
PushWorld: A benchmark for manipulation planning with tools and movable obstacles Ken Kansky Skanda Vaidyanath Scott Swingle Xinghua Lou Miguel Lazaro-Gredilla Dileep George 11 4 0 24 Jan 2023
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Qiyue Yin Tongtong Yu S. Shen Jun Yang Meijing Zhao Kaiqi Huang Bin Liang Liangsheng Wang OffRL 11 13 0 01 Dec 2022
Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration Srivatsan Krishnan Natasha Jaques Shayegan Omidshafiei Dan Zhang Izzeddin Gur Vijay Janapa Reddi Aleksandra Faust 19 2 0 29 Nov 2022
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 27 22 0 22 Oct 2022
Phantom -- A RL-driven multi-agent framework to model complex systems Leo Ardon Jared Vann Deepeka Garg Thomas Spooner Sumitra Ganesh 25 7 0 12 Oct 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments Huanzhou Zhu Bo Zhao Gang Chen Weifeng Chen Yijie Chen Liang Shi Yaodong Yang Peter R. Pietzuch Lei Chen OffRL MoE 11 6 0 03 Oct 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 21 5 0 21 Sep 2022
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning William Wong Praneet Dutta Octavian Voicu Yuri Chervonyi Cosmin Paduraru Jerry Luo OffRL AI4CE 11 5 0 16 Sep 2022
Fast Population-Based Reinforcement Learning on a Single Machine Arthur Flajolet Claire Bizon Monroc Karim Beguir Thomas Pierrot OffRL 8 10 0 17 Jun 2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing Yuke Wang Boyuan Feng Z. Wang Tong Geng Ang Li Yufei Ding AI4CE 44 0 0 16 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 23 137 0 15 Jun 2022
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance Jakob J. Hollenstein Sayantan Auddy Matteo Saveriano Erwan Renaudo J. Piater 26 17 0 08 Jun 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress Rishabh Agarwal Max Schwarzer P. S. Castro Aaron C. Courville Marc G. Bellemare OffRL OnRL 21 63 0 03 Jun 2022
Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning David Brandfonbrener Rémi Tachet des Combes Romain Laroche OffRL 29 5 0 02 Jun 2022
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization Sungryull Sohn Hyunjae Woo Jongwook Choi lyubing qiang Izzeddin Gur Aleksandra Faust Honglak Lee BDL OffRL 24 3 0 25 May 2022
Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach Bobak Shahriari A. Abdolmaleki Arunkumar Byravan A. Friesen Siqi Liu Jost Tobias Springenberg N. Heess Matthew W. Hoffman Martin Riedmiller OffRL 28 9 0 21 Apr 2022
Intelligent Autonomous Intersection Management Udesh Gunarathna S. Karunasekera Renata Borovica-Gajic E. Tanin 8 3 0 09 Feb 2022
Environment Generation for Zero-Shot Compositional Reinforcement Learning Izzeddin Gur Natasha Jaques Yingjie Miao Jongwook Choi Manoj Kumar Tiwari Honglak Lee Aleksandra Faust 18 43 0 21 Jan 2022
Conservative Distributional Reinforcement Learning with Safety Constraints Hengrui Zhang Youfang Lin Sheng Han Shuo Wang Kai Lv OffRL 19 5 0 18 Jan 2022
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk M. Geist Olivier Pietquin OffRL 24 23 0 19 Oct 2021
Collaborating with Humans without Human Data D. Strouse Kevin R. McKee M. Botvinick Edward Hughes Richard Everett 122 160 0 15 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
Dropout Q-Functions for Doubly Efficient Reinforcement Learning Takuya Hiraoka Takahisa Imagawa Taisei Hashimoto Takashi Onishi Yoshimasa Tsuruoka 6 103 0 05 Oct 2021
Implicitly Regularized RL with Implicit Q-Values Nino Vieillard Marcin Andrychowicz Anton Raichuk Olivier Pietquin M. Geist OffRL 11 9 0 16 Aug 2021
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation C. Freeman Erik Frey Anton Raichuk Sertan Girgin Igor Mordatch Olivier Bachem 9 348 0 24 Jun 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin M. Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 34 77 0 01 Jun 2021
On Instrumental Variable Regression for Deep Offline Policy Evaluation Yutian Chen Liyuan Xu Çağlar Gülçehre T. Paine A. Gretton Nando de Freitas Arnaud Doucet OffRL 18 17 0 21 May 2021
Benchmarks for Deep Off-Policy Evaluation Justin Fu Mohammad Norouzi Ofir Nachum George Tucker Ziyun Wang ... Yutian Chen Aviral Kumar Cosmin Paduraru Sergey Levine T. Paine ELM OffRL 20 100 0 30 Mar 2021
Regularized Behavior Value Estimation Çağlar Gülçehre Sergio Gomez Colmenarejo Ziyun Wang Jakub Sygnowski T. Paine Konrad Zolna Yutian Chen Matthew W. Hoffman Razvan Pascanu Nando de Freitas OffRL 15 37 0 17 Mar 2021
Semi-supervised reward learning for offline reinforcement learning Ksenia Konyushkova Konrad Zolna Y. Aytar Alexander Novikov Scott E. Reed Serkan Cabi Nando de Freitas SSL OffRL 56 23 0 12 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 25 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 8 9 0 25 Nov 2020
Critic Regularized Regression Ziyun Wang Alexander Novikov Konrad Zolna Jost Tobias Springenberg Scott E. Reed ... Noah Y. Siegel J. Merel Çağlar Gülçehre N. Heess Nando de Freitas OffRL 25 317 0 26 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 18 124 0 08 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 27 764 0 19 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 252 11,677 0 09 Mar 2017