RLlib: Abstractions for Distributed Reinforcement Learning

26 December 2017

Papers citing "RLlib: Abstractions for Distributed Reinforcement Learning"

30 / 30 papers shown

Title
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents Taiyi Wang Zhihao Wu Jianheng Liu Jianye Hao Jun Wang Kun Shao OffRL 38 13 0 24 Feb 2025
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 22 2 0 08 Nov 2024
Real-Time Model-Free Deep Reinforcement Learning for Force Control of a Series Elastic Actuator Ruturaj Sambhus Aydin Gokce Stephen Welch Connor W. Herron Alexander Leonessa 31 0 0 11 Apr 2023
On the Benefits of Biophysical Synapses Julian Lemmel Radu Grosu 9 0 0 08 Mar 2023
Exposure-Based Multi-Agent Inspection of a Tumbling Target Using Deep Reinforcement Learning Joshua Aurand Steven Cutlip Henry Lei Kendra A. Lang S. Phillips 21 6 0 27 Feb 2023
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility Malintha Fernando Ransalu Senanayake Heeyoul Choi Martin Swany 37 4 0 14 Feb 2023
Project proposal: A modular reinforcement learning based automated theorem prover Boris Shminke 18 1 0 06 Sep 2022
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space Eric Yeh Pedro Sequeira Jesse Hostetler Melinda Gervasio OOD CML BDL OffRL 19 2 0 15 Jul 2022
High Performance Simulation for Scalable Multi-Agent Reinforcement Learning Jordan Langham-Lopez Sebastian M. Schmon Patrick W Cannon AI4CE 15 0 0 08 Jul 2022
Many Field Packet Classification with Decomposition and Reinforcement Learning Hasibul Jamil Ning Yang N. Weng 11 7 0 16 May 2022
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021 Julia Kiseleva Ziming Li Mohammad Aliannejadi Shrestha Mohanty Maartje ter Hoeve ... I. Churin Putra Manggala Kata Naszádi Michiel van der Meer Taewoon Kim LLMAG 31 30 0 05 May 2022
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming Supriyo Ghosh L. Wynter Shiau Hong Lim D. Nguyen 26 0 0 27 Feb 2022
Consistent Dropout for Policy Gradient Reinforcement Learning Matthew J. Hausknecht Nolan Wagener OffRL 19 10 0 23 Feb 2022
Machine Learning aided Crop Yield Optimization C. Ashcraft Kiran Karra OffRL 11 9 0 01 Nov 2021
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment Julia Kiseleva Ziming Li Mohammad Aliannejadi Shrestha Mohanty Maartje ter Hoeve ... Arthur Szlam Yuxuan Sun Katja Hofmann Michel Galley Ahmed Hassan Awadallah LLMAG 70 15 0 13 Oct 2021
Decentralized Cooperative Lane Changing at Freeway Weaving Areas Using Multi-Agent Deep Reinforcement Learning Yi Hou P. Graf AI4CE 13 9 0 05 Oct 2021
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie M. Geist Olivier Pietquin AI4CE 89 35 0 20 Sep 2021
Reinforcement Learning for Efficient and Tuning-Free Link Adaptation Vidit Saxena H. Tullberg Joakim Jaldén 13 36 0 16 Oct 2020
Robust Reinforcement Learning using Adversarial Populations Eugene Vinitsky Yuqing Du Kanaad Parvate Kathy Jang Pieter Abbeel Alexandre M. Bayen AAML 49 79 0 04 Aug 2020
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control Supriyo Ghosh Sean Laguna Shiau Hong Lim L. Wynter Hasan A. Poonawala 21 14 0 03 Apr 2020
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning Qijing Huang Ameer Haj-Ali William S. Moses J. Xiang Ion Stoica Krste Asanović J. Wawrzynek 21 56 0 02 Mar 2020
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning Keng Wah Loon L. Graesser Milan Cvitkovic OffRL 16 13 0 28 Dec 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning Praveen Palanisamy 39 142 0 11 Nov 2019
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning Ameer Haj-Ali Nesreen Ahmed Theodore L. Willke Sophia Shao Krste Asanović Ion Stoica 17 101 0 20 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 19 96 0 03 Sep 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 48 408 0 11 Aug 2019
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning Jacky Liang Viktor Makoviychuk Ankur Handa N. Chentanez Miles Macklin D. Fox AI4CE 13 182 0 12 Oct 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 117 595 0 28 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016