rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch

3 September 2019

Pieter Abbeel

Papers citing "rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch"

22 / 22 papers shown

Title
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
Spreeze: High-Throughput Parallel Reinforcement Learning Framework Jing Hou Guang Chen Ruiqi Zhang Zhijun Li Shangding Gu Changjun Jiang OffRL 29 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 Jun Wang Yaodong Yang Luo Mai OffRL VLM 32 1 0 08 Oct 2023
Intrinsic Rewards from Self-Organizing Feature Maps for Exploration in Reinforcement Learning Marius Lindegaard Hjalmar Jacob Vinje Odin Severinsen 24 2 0 06 Feb 2023
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments Christian Bitter Timo Thun Tobias Meisen 33 1 0 01 Dec 2022
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning Arsène Fansi Tchango Rishab Goel Julien Martel Zhi Wen G. Caron J. Ghosn 29 11 0 13 Oct 2022
Learning Shape Control of Elastoplastic Deformable Linear Objects Rita Laezza Y. Karayiannidis AI4CE 21 22 0 03 Aug 2022
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL Wei Shi Hanrui Wang Jiaqi Gu Mingjie Liu David Z. Pan Song Han Nan Sun 14 14 0 13 Jul 2022
Consistent Dropout for Policy Gradient Reinforcement Learning Matthew J. Hausknecht Nolan Wagener OffRL 19 10 0 23 Feb 2022
Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning Paul Maria Scheikl B. Gyenes Tornike Davitashvili Rayan Younis A. Schulze Beat P. Müller-Stich Gerhard Neumann M. Wagner F. Mathis-Ullrich 19 12 0 10 Oct 2021
Multi-Agent MDP Homomorphic Networks Elise van der Pol H. V. Hoof F. Oliehoek Max Welling AI4CE 46 28 0 09 Oct 2021
Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates Romain Laroche Rémi Tachet des Combes 46 8 0 29 Sep 2021
Tianshou: a Highly Modularized Deep Reinforcement Learning Library Jiayi Weng Huayu Chen Dong Yan Kaichao You Alexis Duburcq Minghao Zhang Yi Su Hang Su Jun Zhu NoLa OffRL 21 194 0 29 Jul 2021
Average-Reward Reinforcement Learning with Trust Region Methods Xiaoteng Ma Xiao-Jing Tang Li Xia Jun Yang Qianchuan Zhao 18 16 0 07 Jun 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 27 26 0 12 Mar 2021
How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget Erik Wijmans Irfan Essa Dhruv Batra 3DPC 30 10 0 11 Dec 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 31 155 0 30 Jun 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 67 771 0 19 Mar 2020
TAdam: A Robust Stochastic Gradient Optimizer Wendyam Eric Lionel Ilboudo Taisuke Kobayashi Kenji Sugimoto ODL 16 12 0 29 Feb 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
Learning to Manipulate Deformable Objects without Demonstrations Yilin Wu Wilson Yan Thanard Kurutach Lerrel Pinto Pieter Abbeel OffRL 22 199 0 29 Oct 2019
QMIX: 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 51 1,654 0 30 Mar 2018