TorchBeast: A PyTorch Platform for Distributed RL

8 October 2019

ArXiv (abs)PDF HTML Github (747★)

Papers citing "TorchBeast: A PyTorch Platform for Distributed RL"

35 / 35 papers shown

Title
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen Kenneth Marino Rob Fergus OCL 137 1 0 21 Aug 2024
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning Matthias Weissenbacher Rishabh Agarwal Yoshinobu Kawahara OffRL 62 1 0 21 Jun 2024
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning Joseph Suárez Phillip Isola Kyoung Whan Choe David Bloomin Hao Xiang Li ... Kirsty You Yuhao Jiang Qimai Li Jiaxin Chen Xiaolong Zhu LLMAG 54 5 0 07 Nov 2023
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks Victor Vadakechirayath George OffRL 52 0 0 04 Oct 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 74 13 0 01 Dec 2022
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds Joshua Albrecht Abraham J. Fetterman Bryden Fogelman Ellie Kitanidis Bartosz Wróblewski ... Michael Rosenthal Maksis Knutins Zachary Polizzi James B. Simon Kanjun Qiu OffRL 83 23 0 24 Oct 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 108 41 0 11 Oct 2022
Improving Policy Learning via Language Dynamics Distillation Victor Zhong Jesse Mu Luke Zettlemoyer Edward Grefenstette Tim Rocktaschel OffRL 83 15 0 30 Sep 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 83 5 0 21 Sep 2022
AutoShard: Automated Embedding Table Sharding for Recommender Systems Daochen Zha Louis Feng Bhargav Bhushanam Dhruv Choudhary Jade Nie Yuandong Tian Jay Chae Yi-An Ma A. Kejariwal Helen Zhou 85 32 0 12 Aug 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 75 19 0 22 Mar 2022
Improving Intrinsic Exploration with Language Abstractions Jesse Mu Victor Zhong Roberta Raileanu Minqi Jiang Noah D. Goodman Tim Rocktaschel Edward Grefenstette 173 66 0 17 Feb 2022
A Modern Self-Referential Weight Matrix That Learns to Modify Itself Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 50 28 0 11 Feb 2022
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models Alexander Pan Kush S. Bhatia Jacob Steinhardt 126 184 0 10 Jan 2022
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi Victoria Dean Deepak Pathak Abhinav Gupta LM&Ro 85 51 0 25 Nov 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents Sam Powers Eliot Xing Eric Kolve Roozbeh Mottaghi Abhinav Gupta OffRL 105 41 0 19 Oct 2021
Feudal Reinforcement Learning by Reading Manuals Kai Wang Zhonghao Wang Mo Yu Humphrey Shi OffRL 77 0 0 13 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 319 91 0 27 Sep 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 118 64 0 11 Jun 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha Jingru Xie Wenye Ma Sheng Zhang Xiangru Lian Helen Zhou Ji Liu 71 117 0 11 Jun 2021
A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals C. V. Rossum Candice Feinberg Adam Abu Shumays Kyle Baxter Benedek Bartha GAN LLMAG LRM 29 1 0 14 Apr 2021
Large Batch Simulation for Deep Reinforcement Learning Brennan Shacklett Erik Wijmans Aleksei Petrenko Manolis Savva Dhruv Batra V. Koltun Kayvon Fatahalian 3DV OffRL AI4CE 88 26 0 12 Mar 2021
Off-Belief Learning Hengyuan Hu Adam Lerer Brandon Cui David J. Wu Luis Pineda Noam Brown Jakob N. Foerster OffRL 63 73 0 06 Mar 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision Johan Bjorck Xiangyu Chen Christopher De Sa Carla P. Gomes Kilian Q. Weinberger 135 6 0 26 Feb 2021
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning Zhengyao Jiang Pasquale Minervini Minqi Jiang Tim Rocktaschel AI4CE 31 7 0 08 Feb 2021
High-Throughput Synchronous Deep RL Iou-Jen Liu Raymond A. Yeh Alex Schwing OffRL 69 12 0 17 Dec 2020
WordCraft: An Environment for Benchmarking Commonsense Agents Minqi Jiang Jelena Luketina Nantas Nardelli Pasquale Minervini Philip Torr Shimon Whiteson Tim Rocktaschel LLMAG OffRL 49 23 0 17 Jul 2020
The NetHack Learning Environment Heinrich Küttler Nantas Nardelli Alexander H. Miller Roberta Raileanu Marco Selvatici Edward Grefenstette Tim Rocktaschel 116 181 0 24 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 101 127 0 22 Jun 2020
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning Aleksei Petrenko Zhehui Huang T. Kumar Gaurav Sukhatme V. Koltun 103 105 0 21 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 143 226 0 01 Jun 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments Roberta Raileanu Tim Rocktaschel 88 174 0 27 Feb 2020
Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes Zaiwei Chen S. T. Maguluri Sanjay Shakkottai Karthikeyan Shanmugam 141 33 0 03 Feb 2020
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions V. Sivakumar Olivier Delalleau Tim Rocktaschel Alexander H. Miller Heinrich Küttler Nantas Nardelli Michael G. Rabbat Joelle Pineau Sebastian Riedel 87 36 0 09 Oct 2019
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning Mahmoud Assran Joshua Romoff Nicolas Ballas Joelle Pineau Michael G. Rabbat 64 33 0 09 Jun 2019