Tianshou: a Highly Modularized Deep Reinforcement Learning Library

29 July 2021

Hang Su

Jun Zhu

NoLa

OffRL

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Papers citing "Tianshou: a Highly Modularized Deep Reinforcement Learning Library"

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Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms Xiangyuan Zhang Weichao Mao S. Mowlavi M. Benosman Tamer Basar OffRL AI4CE 24 2 0 30 Nov 2023
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms Shenao Zhang Boyi Liu Zhaoran Wang Tuo Zhao 32 2 0 30 Oct 2023
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates Nicholas Corrado Josiah P. Hanna 29 4 0 26 Oct 2023
Offline Reinforcement Learning for Optimizing Production Bidding Policies D. Korenkevych Frank Cheng Artsiom Balakir Alex Nikulkov Lingnan Gao Zhihao Cen Zuobing Xu Zheqing Zhu OffRL 25 1 0 13 Oct 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
RLLTE: Long-Term Evolution Project of Reinforcement Learning Tao Lv Zequn Zhang Yang Xu Shihao Luo Bo Li Xin Jin Wenjun Zeng OffRL 34 1 0 28 Sep 2023
Learning Shared Safety Constraints from Multi-task Demonstrations Konwoo Kim Gokul Swamy Zuxin Liu Ding Zhao Sanjiban Choudhury Zhiwei Steven Wu 36 15 0 01 Sep 2023
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning Raffaele Galliera K. Venable Matteo Bassani N. Suri 19 1 0 25 Aug 2023
Learning to Identify Critical States for Reinforcement Learning from Videos Haozhe Liu Mingchen Zhuge Bing Li Yu‐Han Wang Francesco Faccio Guohao Li Jürgen Schmidhuber OffRL 28 6 0 15 Aug 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 27 18 0 15 Jul 2023
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing Qiulei Wang Lei Yan Gang Hu Wenli Chen Jean Rabault B. R. Noack AI4CE 23 24 0 05 Jul 2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Haohong Lin Yi-Fan Yao Jiacheng Zhu ... Hanjiang Hu Wenhao Yu Tingnan Zhang Jie Tan Ding Zhao OffRL 27 36 0 15 Jun 2023
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback Junfan Lin Yuying Zhu Lingbo Liu Yang Liu Guanbin Li Liang Lin 32 11 0 13 Jun 2023
Online Prototype Alignment for Few-shot Policy Transfer Qi Yi Rui Zhang Shaohui Peng Jiaming Guo Yunkai Gao ... Xingui Hu Zidong Du Xishan Zhang Qi Guo Yunji Chen OffRL 24 4 0 12 Jun 2023
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control Jonas Eschmann Dario Albani Giuseppe Loianno OffRL 36 5 0 06 Jun 2023
TorchRL: A data-driven decision-making library for PyTorch Albert Bou Matteo Bettini Sebastian Dittert Vikash Kumar Shagun Sodhani Xiaomeng Yang Gianni De Fabritiis Vincent Moens OffRL AI4CE 27 37 0 01 Jun 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo Haque Ishfaq Qingfeng Lan Pan Xu A. R. Mahmood Doina Precup Anima Anandkumar Kamyar Azizzadenesheli BDL OffRL 28 20 0 29 May 2023
Constrained Reinforcement Learning for Dynamic Material Handling Chengpeng Hu Ziming Wang Jialin Liu J. Wen Bifei Mao Xinghu Yao 24 0 0 23 May 2023
GUARD: A Safe Reinforcement Learning Benchmark Weiye Zhao Rui Chen Yifan Sun Ruixuan Liu Tianhao Wei Changliu Liu 49 12 0 23 May 2023
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research Jiaming Ji Jiayi Zhou Borong Zhang Juntao Dai Xuehai Pan Ruiyang Sun Weidong Huang Yiran Geng Mickel Liu Yaodong Yang OffRL 72 47 0 16 May 2023
Evolving Constrained Reinforcement Learning Policy Chengpeng Hu Jiyuan Pei Jialin Liu Xinghu Yao 16 1 0 19 Apr 2023
Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems Diksha Goel Aneta Neumann Frank Neumann Hung Nguyen Mingyu Guo AAML 13 11 0 08 Apr 2023
Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you need Colin Vignon Jean Rabault Joel Vasanth Francisco Alcántara-Ávila M. Mortensen Ricardo Vinuesa AI4CE 23 39 0 05 Apr 2023
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning Sotetsu Koyamada Shinri Okano Soichiro Nishimori Y. Murata Keigo Habara Haruka Kita Shin Ishii 19 24 0 29 Mar 2023
RLOR: A Flexible Framework of Deep Reinforcement Learning for Operation Research Ching Pui Wan Tung Li Jason Min Wang AI4CE 14 2 0 23 Mar 2023
CoRL: Environment Creation and Management Focused on System Integration J. D. Merrick Benjamin K. Heiner Cameron Long Brian Stieber Steve Fierro Vardaan Gangal Madison Blake Joshua Blackburn AI4CE 30 2 0 03 Mar 2023
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills Jiayuan Gu Fanbo Xiang Xuanlin Li Z. Ling Xiqiang Liu ... Xiao Yuan P. Xie Zhiao Huang Rui Chen Hao Su 34 175 0 09 Feb 2023
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm Yihong Li Xiaoxi Zhang Tian Zeng Jingpu Duan Chuanxi Wu Di Wu Xu Chen 23 15 0 01 Feb 2023
Neural Episodic Control with State Abstraction Zhuo Li Derui Zhu Yujing Hu Xiaofei Xie L. Ma Yan Zheng Yan Song Yingfeng Chen Jianjun Zhao OffRL 18 14 0 27 Jan 2023
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation Soysal Degirmenci Chris Jones OffRL 22 1 0 05 Dec 2022
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 22 13 0 01 Dec 2022
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control Xiang Zheng Xingjun Ma Cong Wang 28 1 0 28 Nov 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu Peide Huang Yaru Niu Visak C. V. Kumar Jielin Qiu ... Kuan-Hui Lee Xuewei Qi H. Lam Bo-wen Li Ding Zhao OOD 62 9 0 21 Oct 2022
CORL: Research-oriented Deep Offline Reinforcement Learning Library Denis Tarasov Alexander Nikulin Dmitry Akimov Vladislav Kurenkov Sergey Kolesnikov OffRL 54 78 0 13 Oct 2022
Object-Category Aware Reinforcement Learning Qi Yi Rui Zhang Shaohui Peng Jiaming Guo Xingui Hu Zidong Du Xishan Zhang Qi Guo Yunji Chen CML LRM 25 6 0 13 Oct 2022
Multi-agent Dynamic Algorithm Configuration Ke Xue Jiacheng Xu Lei Yuan M. Li Chao Qian Zongzhang Zhang Yang Yu 37 29 0 13 Oct 2022
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library Siyi Hu Yifan Zhong Minquan Gao Weixun Wang Hao Dong Xiaodan Liang Zhihui Li Xiaojun Chang Yaodong Yang 20 15 0 11 Oct 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward Zixian Ma Rose E. Wang Li Fei-Fei Michael S. Bernstein Ranjay Krishna 21 16 0 09 Oct 2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling Huayu Chen Cheng Lu Chengyang Ying Hang Su Jun Zhu DiffM OffRL 105 105 0 29 Sep 2022
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies Haozhi Wang Qing Wang Yunfeng Shao Dong Li Jianye Hao Yinchuan Li 15 0 0 21 Sep 2022
On the Reuse Bias in Off-Policy Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Dong Yan Jun Zhu OffRL 37 3 0 15 Sep 2022
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models Xingyu Xie Pan Zhou Huan Li Zhouchen Lin Shuicheng Yan ODL 35 150 0 13 Aug 2022
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL J. Kuba Xidong Feng Shiyao Ding Hao Dong Jun Wang Yaodong Yang 26 16 0 02 Aug 2022
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving Sebastian Rietsch S. Huang G. Kontes Axel Plinge Christopher Mutschler OOD OffRL 21 5 0 23 Jul 2022
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine Jiayi Weng Min-Bin Lin Shengyi Huang Bo Liu Denys Makoviichuk ... Yufan Song Ting Luo Yukun Jiang Zhongwen Xu Shuicheng Yan MoE 16 59 0 21 Jun 2022
Interactive Visual Reasoning under Uncertainty Manjie Xu Guangyuan Jiang Wei Liang Song-Chun Zhu Yixin Zhu LRM 47 5 0 18 Jun 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation Qingfeng Lan Yangchen Pan Jun Luo A. R. Mahmood OffRL 29 6 0 22 May 2022
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection Quanfu Fan Yilai Li Yuguang Yao J. M. Cohn Sijia Liu S. Vos M. Cianfrocco OffRL 23 8 0 15 Apr 2022
JORLDY: a fully customizable open source framework for reinforcement learning Kyushik Min Hyunho Lee Kwansu Shin Tae-woo Lee Hojoon Lee Jinwon Choi Sung-Hyun Son OnRL 14 0 0 11 Apr 2022
A Survey on Reinforcement Learning Methods in Character Animation Ariel Kwiatkowski Eduardo Alvarado Vicky Kalogeiton Chenxi Liu Julien Pettré M. van de Panne Marie-Paule Cani AI4CE 19 44 0 07 Mar 2022