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
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks Yun Qu Boyuan Wang Jianzhun Shao Yuhang Jiang Chen Chen ... Qiang Fu Wei Yang Guang Yang Lanxiao Huang Xiangyang Ji OffRL 51 9 0 20 Aug 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning S. Poddar Yanming Wan Hamish Ivison Abhishek Gupta Natasha Jaques 34 35 0 19 Aug 2024
Diffusion Model for Planning: A Systematic Literature Review Toshihide Ubukata Jialong Li Kenji Tei DiffM MedIm 53 6 0 16 Aug 2024
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning Rafael Rafailov Kyle Hatch Anikait Singh Laura Smith Aviral Kumar ... Victor Kolev Philip J. Ball Jiajun Wu Chelsea Finn Sergey Levine OffRL 34 3 0 15 Aug 2024
q-exponential family for policy optimization Lingwei Zhu Haseeb Shah Han Wang Yukie Nagai Martha White OffRL 78 0 0 14 Aug 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets? Ying Fan Jingling Li Adith Swaminathan Aditya Modi Ching-An Cheng OffRL 72 0 0 14 Aug 2024
Semi-Supervised One-Shot Imitation Learning Philipp Wu Kourosh Hakhamaneshi Yuqing Du Igor Mordatch Aravind Rajeswaran Pieter Abbeel SSL 32 1 0 09 Aug 2024
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning Heewoong Choi Sangwon Jung Hongjoon Ahn Taesup Moon OffRL 39 2 0 08 Aug 2024
SelfBC: Self Behavior Cloning for Offline Reinforcement Learning Shirong Liu Chenjia Bai Zixian Guo Hao Zhang Gaurav Sharma Yang Liu OffRL 32 2 0 04 Aug 2024
Adaptive Planning with Generative Models under Uncertainty Pascal Jutras-Dubé Ruqi Zhang Aniket Bera 33 2 0 02 Aug 2024
Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer Yu Yang Pan Xu VLM OffRL 31 1 0 02 Aug 2024
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning Liyuan Mao Haoran Xu Weinan Zhang Xianyuan Zhan Amy Zhang OffRL 41 5 0 29 Jul 2024
Cross-Domain Policy Transfer by Representation Alignment via Multi-Domain Behavioral Cloning Hayato Watahiki Ryo Iwase Ryosuke Unno Yoshimasa Tsuruoka 35 0 0 24 Jul 2024
Diffusion Models as Optimizers for Efficient Planning in Offline RL Renming Huang Yunqiang Pei Guoqing Wang Yangming Zhang Yang Yang Peng Wang H. Shen OffRL 34 0 0 23 Jul 2024
Temporal Abstraction in Reinforcement Learning with Offline Data Ranga Shaarad Ayyagari Anurita Ghosh Ambedkar Dukkipati OffRL 21 0 0 21 Jul 2024
MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery Pei Zhou Yanchao Yang 40 1 0 21 Jul 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning Yi-Fan Yao Zhepeng Cen Wenhao Ding Hao-ming Lin Shiqi Liu Tingnan Zhang Wenhao Yu Ding Zhao OffRL OnRL 51 1 0 19 Jul 2024
LLM-Empowered State Representation for Reinforcement Learning Boyuan Wang Yun Qu Yuhang Jiang Jianzhun Shao Chang-rui Liu Wenming Yang Xiangyang Ji 40 7 0 18 Jul 2024
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning Xu-Hui Liu Tian-Shuo Liu Shengyi Jiang Ruifeng Chen Zhilong Zhang Xinwei Chen Yang Yu OffRL OnRL 34 2 0 17 Jul 2024
Offline Reinforcement Learning with Imputed Rewards Carlo Romeo Andrew D. Bagdanov OffRL 31 0 0 15 Jul 2024
A Benchmark Environment for Offline Reinforcement Learning in Racing Games Girolamo Macaluso Alessandro Sestini Andrew D. Bagdanov OffRL 24 0 0 12 Jul 2024
Constrained Intrinsic Motivation for Reinforcement Learning Xiang Zheng Jie Zhang Chao Shen Cong Wang 34 1 0 12 Jul 2024
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control Huayu Chen Kaiwen Zheng Hang Su Jun Zhu 51 1 0 12 Jul 2024
TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations Junik Bae Kwanyoung Park Youngwoon Lee 37 2 0 11 Jul 2024
Hindsight Preference Learning for Offline Preference-based Reinforcement Learning Chen-Xiao Gao Shengjun Fang Chenjun Xiao Yang Yu Zongzhang Zhang OffRL 30 0 0 05 Jul 2024
ROER: Regularized Optimal Experience Replay Changling Li Zhang-Wei Hong Pulkit Agrawal Divyansh Garg Joni Pajarinen OffRL 39 1 0 04 Jul 2024
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models Fuxiang Zhang Junyou Li Yi-Chen Li Zongzhang Zhang Yang Yu Deheng Ye OffRL KELM 47 1 0 04 Jul 2024
RobocupGym: A challenging continuous control benchmark in Robocup Michael Beukman Branden Ingram Geraud Nangue Tasse Benjamin Rosman Pravesh Ranchod OffRL 43 1 0 03 Jul 2024
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion Boyuan Chen Diego Marti Monso Yilun Du Max Simchowitz Russ Tedrake Vincent Sitzmann DiffM 37 73 0 01 Jul 2024
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces Perusha Moodley Pramod S. Kaushik Dhillu Thambi Mark Trovinger Praveen Paruchuri Xia Hong Benjamin Rosman 50 0 0 01 Jul 2024
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators Ori Linial Guy Tennenholtz Uri Shalit OffRL 40 1 0 30 Jun 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 37 1 0 30 Jun 2024
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators Kuo-Hao Zeng Zichen Zhang Kiana Ehsani Rose Hendrix Jordi Salvador Alvaro Herrasti Ross Girshick Aniruddha Kembhavi Luca Weihs LM&Ro OffRL 38 17 0 28 Jun 2024
Preference Elicitation for Offline Reinforcement Learning Alizée Pace Bernhard Schölkopf Gunnar Rätsch Giorgia Ramponi OffRL 66 1 0 26 Jun 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making Vivek Myers Chongyi Zheng Anca Dragan Sergey Levine Benjamin Eysenbach OffRL 45 7 0 24 Jun 2024
Learning Abstract World Model for Value-preserving Planning with Options Rafael Rodríguez-Sánchez George Konidaris 27 1 0 22 Jun 2024
Efficient Offline Reinforcement Learning: The Critic is Critical Adam Jelley Trevor A. McInroe Sam Devlin Amos Storkey OffRL 39 1 0 19 Jun 2024
Offline Imitation Learning with Model-based Reverse Augmentation Jie-Jing Shao Hao-Sen Shi Lan-Zhe Guo Yu-Feng Li OffRL 35 5 0 18 Jun 2024
Planning Using Schrödinger Bridge Diffusion Models Adarsh Srivastava OffRL DiffM 29 0 0 18 Jun 2024
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making Zibin Dong Yifu Yuan Jianye Hao Fei Ni Yi Ma Pengyi Li Yan Zheng DiffM 58 9 0 13 Jun 2024
Is Value Learning Really the Main Bottleneck in Offline RL? Seohong Park Kevin Frans Sergey Levine Aviral Kumar OffRL 51 8 0 13 Jun 2024
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning Xuemin Hu Shen Li Yingfen Xu Bo Tang Long Chen 36 0 0 13 Jun 2024
A Dual Approach to Imitation Learning from Observations with Offline Datasets Harshit S. Sikchi Caleb Chuck Amy Zhang S. Niekum OffRL 33 4 0 13 Jun 2024
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning Alexander Nikulin Ilya Zisman Alexey Zemtsov Viacheslav Sinii 110 4 0 13 Jun 2024
RRLS : Robust Reinforcement Learning Suite Adil Zouitine David Bertoin Pierre Clavier Matthieu Geist Emmanuel Rachelson OffRL 32 1 0 12 Jun 2024
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning Mohammadreza Nakhaei Aidan Scannell Joni Pajarinen OffRL 49 1 0 12 Jun 2024
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning Zeyuan Liu Kai Yang Xiu Li OffRL 44 0 0 11 Jun 2024
Hybrid Reinforcement Learning from Offline Observation Alone Yuda Song J. Andrew Bagnell Aarti Singh OffRL 84 2 0 11 Jun 2024
Augmenting Offline RL with Unlabeled Data Zhao Wang Briti Gangopadhyay Jia-Fong Yeh Shingo Takamatsu OffRL 28 0 0 11 Jun 2024
Integrating Domain Knowledge for handling Limited Data in Offline RL Briti Gangopadhyay Zhao Wang Jia-Fong Yeh Shingo Takamatsu OffRL 32 0 0 11 Jun 2024