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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Title
Reinforcement Learning Closures for Underresolved Partial Differential Equations using Synthetic Data Lothar Heimbach Sebastian Kaltenbach Petr Karnakov Francis J. Alexander Petros Koumoutsakos AI4CE 9 0 0 16 May 2025
Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps Ningyuan Yang Jiaxuan Gao Feng Gao Yi Wu Chao Yu 36 0 0 15 May 2025
Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Zijian An Lifeng Zhou 31 0 0 08 May 2025
Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning Paul Fischer Sebastian Kaltenbach Sergey Litvinov Sauro Succi Petros Koumoutsakos AI4CE 31 0 0 19 Apr 2025
Adaptive Sensor Steering Strategy Using Deep Reinforcement Learning for Dynamic Data Acquisition in Digital Twins Collins O. Ogbodo Timothy J. Rogers Mattia Dal Borgo D. Wagg 33 0 0 14 Apr 2025
AlgOS: Algorithm Operating System Llewyn Salt Marcus Gallagher VLM 30 0 0 07 Apr 2025
On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning Implementations Rajdeep Singh Hundal Yan Xiao Xiaochun Cao Jin Song Dong Manuel Rigger 48 0 0 28 Mar 2025
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices Lixing Lyu Jiashuo Jiang Wang Chi Cheung 42 1 0 24 Feb 2025
Preconditioned Inexact Stochastic ADMM for Deep Model Shenglong Zhou Ouya Wang Ziyan Luo Yongxu Zhu Geoffrey Ye Li 46 0 0 15 Feb 2025
Your Learned Constraint is Secretly a Backward Reachable Tube Mohamad Qadri Gokul Swamy Jonathan Francis Michael Kaess Andrea Bajcsy 31 3 0 26 Jan 2025
$\beta$ -DQN: Improving Deep Q-Learning By Evolving the Behavior Hongming Zhang Fengshuo Bai Chenjun Xiao Chao Gao Bo Xu Martin Müller OffRL 35 2 0 03 Jan 2025
Distributional Reinforcement Learning based Integrated Decision Making and Control for Autonomous Surface Vehicles Xi Lin Paul Szenher Yewei Huang Brendan Englot 81 1 0 12 Dec 2024
A Cross-Scene Benchmark for Open-World Drone Active Tracking Haowei Sun Jinwu Hu Zhirui Zhang Haoyuan Tian Xinze Xie Yufeng Wang Zhuliang Yu Xiaohua Xie Mingkui Tan 75 0 0 01 Dec 2024
On the Performance Analysis of Momentum Method: A Frequency Domain Perspective Xianliang Li Jun Luo Zhiwei Zheng Hanxiao Wang Li Luo Lingkun Wen Linlong Wu Sheng Xu 74 0 0 29 Nov 2024
A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents Jean Vassoyan Anan Schütt Jill-Jênn Vie Arun-Balajiee Lekshmi-Narayanan Elisabeth André Nicolas Vayatis AI4Ed 74 0 0 18 Nov 2024
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
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions Zizhao Wang Jiaheng Hu Caleb Chuck Stephen Chen Roberto Martín-Martín Amy Zhang S. Niekum Peter Stone OffRL 58 0 0 24 Oct 2024
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 Games Kimiya Saadat Richard Zhao 31 0 0 22 Oct 2024
Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates F. Akkerman Nils Knofius Matthieu van der Heijden M. Mes 26 1 0 04 Oct 2024
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank Wenhao Zhan Scott Fujimoto Zheqing Zhu Jason D. Lee Daniel Jiang Yonathan Efroni OffRL 29 0 0 01 Oct 2024
Subassembly to Full Assembly: Effective Assembly Sequence Planning through Graph-based Reinforcement Learning Chang Shu Anton Kim Shinkyu Park 26 0 0 20 Sep 2024
GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning Heng Xiong Changrong Guo Jian Peng Kai Ding Wenjie Chen Xuchong Qiu Long Bai Jianfeng Xu OffRL 26 4 0 09 Sep 2024
HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis Zhi-Bo Liu Xiaobo Pang Jizhao Wang Shuai Liu Chen Li 42 1 0 16 Aug 2024
AExGym: Benchmarks and Environments for Adaptive Experimentation Jimmy Wang Ethan Che Daniel R. Jiang Hongseok Namkoong 37 0 0 08 Aug 2024
Gymnasium: A Standard Interface for Reinforcement Learning Environments Mark Towers Ariel Kwiatkowski Jordan Terry John U. Balis Gianluca De Cola ... Andrea Pierré Sander Schulhoff Jun Jet Tai Hannah Tan Omar G. Younis AuLLM OffRL 24 160 0 24 Jul 2024
Weight Clipping for Deep Continual and Reinforcement Learning Mohamed Elsayed Qingfeng Lan Clare Lyle A. Rupam Mahmood 29 9 0 01 Jul 2024
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling Haque Ishfaq Yixin Tan Yu Yang Qingfeng Lan Jianfeng Lu A. Rupam Mahmood Doina Precup Pan Xu 32 4 0 18 Jun 2024
PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice Joseph Suarez AI4CE 51 2 0 11 Jun 2024
Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning Arvi Jonnarth Ola Johansson M. Felsberg OffRL 48 1 0 07 Jun 2024
DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime Zhiyao Luo Mingcheng Zhu Fenglin Liu Jiali Li Yangchen Pan Jiandong Zhou Tingting Zhu OffRL 35 3 0 28 May 2024
Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map Shunyu Liu Wei Luo Yanzhen Zhou Kaixuan Chen Quan Zhang Huating Xu Qinglai Guo Mingli Song 21 14 0 24 May 2024
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation Zelei Cheng Xian Wu Jiahao Yu Sabrina Yang Gang Wang Xinyu Xing OffRL 26 2 0 05 May 2024
ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces Libing Yang Yang Li Long Chen 28 3 0 05 May 2024
Evolutionary Reinforcement Learning via Cooperative Coevolution Chengpeng Hu Jialin Liu Xinghu Yao 22 0 0 23 Apr 2024
Stimulate the Potential of Robots via Competition K. Huang Di Guo Xinyu Zhang Xiangyang Ji Huaping Liu 32 3 0 15 Mar 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries Swetha Ganesh Jiayu Chen Gugan Thoppe Vaneet Aggarwal FedML 64 1 0 15 Mar 2024
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning Nicholas Zolman Urban Fasel J. Nathan Kutz Steven L. Brunton AI4CE 30 11 0 14 Mar 2024
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems Yuanqing Yu Chongming Gao Jiawei Chen Heng Tang Yuefeng Sun Qian Chen Weizhi Ma Min Zhang OffRL 39 2 0 23 Feb 2024
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning Shengyi Huang Quentin Gallouedec Florian Felten Antonin Raffin Rousslan Fernand Julien Dossa ... Alexander Nikulin Xiao Hu Tianlin Liu Jongwook Choi Brent Yi OffRL 29 7 0 05 Feb 2024
Training Adversarial yet Safe Agent to Characterize Safety Performance of Highly Automated Vehicles Minghao Zhu Anmol Sidhu Keith A. Redmill 31 0 0 02 Feb 2024
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning Jan-Philipp von Bassewitz Sebastian Kaltenbach Petros Koumoutsakos AI4CE 38 2 0 01 Feb 2024
Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research Jan Dohmen Frank Röder Manfred Eppe OffRL 23 0 0 25 Jan 2024
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning Zizhao Wang Caroline Wang Xuesu Xiao Yuke Zhu Peter Stone OffRL 36 4 0 23 Jan 2024
EgoGen: An Egocentric Synthetic Data Generator Gen Li Kai Zhao Siwei Zhang X. Lyu Mihai Dusmanu Yan Zhang Marc Pollefeys Siyu Tang EgoV VGen 42 14 0 16 Jan 2024
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem Niklas Strauß Matthias Schubert 20 0 0 11 Jan 2024
NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds Shivam Goel Yichen Wei Panagiotis Lymperopoulos matthias. scheutz Jivko Sinapov GNN 50 2 0 07 Jan 2024
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library Wenzhang Liu Wenzhe Cai Kun Jiang Guangran Cheng Yuanda Wang Changyin Sun Jingyu Cao Lele Xu Chaoxu Mu Changyin Sun 39 4 0 25 Dec 2023
DCIR: Dynamic Consistency Intrinsic Reward for Multi-Agent Reinforcement Learning Kun-Li Channing Lin Yufeng Wang Peihao Chen Runhao Zeng Siyuan Zhou Mingkui Tan Chuang Gan AI4CE 29 0 0 10 Dec 2023
Guaranteed Trust Region Optimization via Two-Phase KL Penalization K.R. Zentner Ujjwal Puri Zhehui Huang Gaurav Sukhatme OffRL 24 0 0 08 Dec 2023
Pearl: A Production-ready Reinforcement Learning Agent Zheqing Zhu Rodrigo de Salvo Braz Jalaj Bhandari Daniel Jiang Yi Wan ... D. Korenkevych Ürün Dogan Frank Cheng Zheng Wu Wanqiao Xu VLM OffRL OnRL 39 6 0 06 Dec 2023