D4RL: Datasets for Deep Data-Driven Reinforcement Learning

15 April 2020

Papers citing "D4RL: Datasets for Deep Data-Driven Reinforcement Learning"

50 / 927 papers shown

Title
DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning Longxiang He Li Shen Linrui Zhang Junbo Tan Xueqian Wang OffRL 28 8 0 09 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
Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration Ziqi Zhang Xiao Xiong Zifeng Zhuang Jinxin Liu Donglin Wang OffRL OnRL 48 0 0 07 Oct 2023
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets Zhang-Wei Hong Aviral Kumar Sathwik Karnik Abhishek Bhandwaldar Akash Srivastava Joni Pajarinen Romain Laroche Abhishek Gupta Pulkit Agrawal OffRL 38 19 0 06 Oct 2023
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL Yang Yue Rui Lu Bingyi Kang Shiji Song Gao Huang OffRL 35 16 0 06 Oct 2023
Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning Tao Li Juan Guevara Xinghong Xie Quanyan Zhu OffRL 39 1 0 06 Oct 2023
Roadmaps with Gaps over Controllers: Achieving Efficiency in Planning under Dynamics Aravind Sivaramakrishnan Sumanth Tangirala Edgar Granados Noah R. Carver Kostas E. Bekris 28 3 0 05 Oct 2023
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making Jeonghye Kim Suyoung Lee Woojun Kim Young-Jin Sung OffRL 33 17 0 04 Oct 2023
How Physics and Background Attributes Impact Video Transformers in Robotic Manipulation: A Case Study on Planar Pushing Shutong Jin Ruiyu Wang Muhammad Zahid Florian T. Pokorny 32 1 0 03 Oct 2023
Pre-training with Synthetic Data Helps Offline Reinforcement Learning Zecheng Wang Che Wang Zixuan Dong Keith Ross OffRL 30 5 0 01 Oct 2023
Efficient Planning with Latent Diffusion Wenhao Li DiffM 40 4 0 30 Sep 2023
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning Daoce Wang Chi Jin OffRL DiffM 27 25 0 29 Sep 2023
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness Xiaoyu Wen Xudong Yu Rui Yang Chenjia Bai Zhen Wang OffRL OnRL 28 10 0 29 Sep 2023
Stackelberg Batch Policy Learning Wenzhuo Zhou Annie Qu OffRL 35 0 0 28 Sep 2023
Unified Long-Term Time-Series Forecasting Benchmark Wenzhuo Zhou Szymon Haponiuk AI4TS 28 2 0 27 Sep 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 36 0 0 26 Sep 2023
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning Jianzhun Shao Yun Qu Chen Chen Hongchang Zhang Xiangyang Ji OffRL 20 19 0 22 Sep 2023
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps Haoyi Niu Tianying Ji Bingqi Liu Haocheng Zhao Xiangyu Zhu Jianying Zheng Pengfei Huang Guyue Zhou Jianming Hu Xianyuan Zhan OffRL OnRL AI4CE 27 6 0 22 Sep 2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions Yevgen Chebotar Q. Vuong A. Irpan Karol Hausman F. Xia ... Brianna Zitkovich Tomas Jackson Kanishka Rao Chelsea Finn Sergey Levine OffRL 131 81 0 18 Sep 2023
DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning Xiao-Yin Liu Xiao-Hu Zhou Xiaoliang Xie Shiqi Liu Zhen-Qiu Feng Hao Li Mei-Jiang Gui Tian-Yu Xiang De-Xing Huang Zeng-Guang Hou OffRL OOD 21 5 0 16 Sep 2023
A Bayesian Approach to Robust Inverse Reinforcement Learning Ran Wei Siliang Zeng Chenliang Li Alfredo García Anthony D. McDonald Mingyi Hong OffRL 31 4 0 15 Sep 2023
A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement Learning Sidney Besnard Shuyu Yang M. Fadili OffRL 29 2 0 13 Sep 2023
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL Hao Sun Alihan Huyuk M. Schaar OffRL LRM 23 27 0 13 Sep 2023
Reasoning with Latent Diffusion in Offline Reinforcement Learning S. Venkatraman Shivesh Khaitan Ravi Tej Akella John M. Dolan Jeff Schneider Glen Berseth OffRL 17 22 0 12 Sep 2023
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning Chenxiao Gao Chenyang Wu Mingjun Cao Rui Kong Zongzhang Zhang Yang Yu OffRL 31 13 0 12 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 44 0 0 08 Sep 2023
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning L. Du Min Chen Mingyang Sun Shouling Ji Peng Cheng Jiming Chen Zhikun Zhang OffRL 45 8 0 06 Sep 2023
Efficient RL via Disentangled Environment and Agent Representations Kevin Gmelin Shikhar Bahl Russell Mendonca Deepak Pathak DRL 35 8 0 05 Sep 2023
Model-based Offline Policy Optimization with Adversarial Network Junming Yang Xingguo Chen Shengyuan Wang Bolei Zhang OffRL 14 2 0 05 Sep 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 26 8 0 04 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
Multi-Objective Decision Transformers for Offline Reinforcement Learning Abdelghani Ghanem P. Ciblat Mounir Ghogho OffRL 32 1 0 31 Aug 2023
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning Hanhan Zhou Tian-Shing Lan Vaneet Aggarwal OffRL 35 4 0 28 Aug 2023
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing D. Humeniuk Foutse Khomh G. Antoniol 25 4 0 24 Aug 2023
Learning Computational Efficient Bots with Costly Features Anthony Kobanda Valliappan C. A. Joshua Romoff Ludovic Denoyer OffRL 27 1 0 18 Aug 2023
Reinforced Self-Training (ReST) for Language Modeling Çağlar Gülçehre T. Paine S. Srinivasan Ksenia Konyushkova L. Weerts ... Chenjie Gu Wolfgang Macherey Arnaud Doucet Orhan Firat Nando de Freitas OffRL 48 274 0 17 Aug 2023
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World Nicolas Gurtler Felix Widmaier Cansu Sancaktar Sebastian Blaes Pavel Kolev ... Arman Raayatsanati Hehui Zheng Barnabas Gavin Cangan Bernhard Schölkopf Georg Martius OffRL 35 2 0 15 Aug 2023
Learning Control Policies for Variable Objectives from Offline Data Marc Weber Phillip Swazinna D. Hein Steffen Udluft V. Sterzing OffRL 26 8 0 11 Aug 2023
A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control Marshall Wang John Willes Thomas Jiralerspong Matin Moezzi OffRL AI4CE 19 2 0 10 Aug 2023
Exploiting Generalization in Offline Reinforcement Learning via Unseen State Augmentations Nirbhay Modhe Qiaozi Gao Ashwin Kalyan Dhruv Batra Govind Thattai Gaurav Sukhatme OffRL 23 2 0 07 Aug 2023
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning Michaël Mathieu Sherjil Ozair Srivatsan Srinivasan Çağlar Gülçehre Shangtong Zhang ... Sergio Gomez Colmenarejo Aaron van den Oord Wojciech M. Czarnecki Nando de Freitas Oriol Vinyals OffRL 16 10 0 07 Aug 2023
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware Nico Gürtler Sebastian Blaes Pavel Kolev Felix Widmaier Manuel Wüthrich Stefan Bauer Bernhard Schölkopf Georg Martius OffRL 33 28 0 28 Jul 2023
Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition Huy Ha Peter R. Florence Shuran Song LM&Ro 47 151 0 26 Jul 2023
Offline Reinforcement Learning with On-Policy Q-Function Regularization Laixi Shi Robert Dadashi Yuejie Chi Pablo Samuel Castro M. Geist OffRL 35 5 0 25 Jul 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions Seohong Park Dibya Ghosh Benjamin Eysenbach Sergey Levine OffRL 30 45 0 22 Jul 2023
Offline Diversity Maximization Under Imitation Constraints Marin Vlastelica Jin Cheng Georg Martius Pavel Kolev OffRL 44 0 0 21 Jul 2023
Model-based Offline Reinforcement Learning with Count-based Conservatism Byeongchang Kim Min Hwan Oh OffRL 17 12 0 21 Jul 2023
PASTA: Pretrained Action-State Transformer Agents Raphael Boige Yannis Flet-Berliac Arthur Flajolet Guillaume Richard Thomas Pierrot LM&Ro OffRL 40 5 0 20 Jul 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization Zhecheng Yuan Sizhe Yang Pu Hua C. Chang Kaizhe Hu Huazhe Xu OOD OffRL 24 17 0 15 Jul 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 31 5 0 13 Jul 2023