Title
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 268 11 0 06 Dec 2023
Diffused Task-Agnostic Milestone Planner Mineui Hong Minjae Kang Songhwai Oh 262 8 0 06 Dec 2023
Understanding Representations Pretrained with Auxiliary Losses for Embodied Agent Planning Samrudhdhi B. Rangrej James J. Clark SSL 199 0 0 06 Dec 2023
Contact Energy Based Hindsight Experience PrioritizationIEEE International Conference on Robotics and Automation (ICRA), 2023 Erdi Sayar Zhenshan Bing Carlo DÉramo Ozgur S. Oguz Alois Knoll 173 4 0 05 Dec 2023
Visual Hindsight Self-Imitation Learning for Interactive NavigationIEEE Access (IEEE Access), 2023 Kibeom Kim Kisung Shin Min Whoo Lee Moonhoen Lee Minsu Lee Byoung-Tak Zhang 154 2 0 05 Dec 2023
Working Backwards: Learning to Place by PickingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Oliver Limoyo Abhisek Konar Trevor Ablett Jonathan Kelly F. Hogan Gregory Dudek 277 0 0 04 Dec 2023
AdsorbRL: Deep Multi-Objective Reinforcement Learning for Inverse Catalysts Design Romain Lacombe Lucas Hendren Khalid El-Awady 102 2 0 04 Dec 2023
Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters Aksel Vaaler Svein Jostein Husa Daniel Menges T. N. Larsen Adil Rasheed 258 2 0 04 Dec 2023
Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 126 0 0 29 Nov 2023
Goal-conditioned Offline Planning from Curious ExplorationNeural Information Processing Systems (NeurIPS), 2023 Marco Bagatella Georg Martius OffRL 250 1 0 28 Nov 2023
Offline Skill Generalization via Task and Motion Planning Shin Watanabe Geir Horn J. Tørresen K. Ellefsen OffRL 225 0 0 24 Nov 2023
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and FrameworkJournal of Artificial Intelligence Research (JAIR), 2023 Florian Felten El-Ghazali Talbi Grégoire Danoy 136 27 0 21 Nov 2023
Towards a Standardized Reinforcement Learning Framework for AAM Contingency Management Luis E. Alvarez Marc W. Brittain Kara Breeden 129 3 0 17 Nov 2023
Signal Temporal Logic-Guided Apprenticeship Learning Aniruddh Gopinath Puranic Jyotirmoy V. Deshmukh Stefanos Nikolaidis 147 3 0 09 Nov 2023
Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning Junmin Zhong Ruofan Wu Jennie Si OffRL 91 1 0 07 Nov 2023
PcLast: Discovering Plannable Continuous Latent StatesInternational Conference on Machine Learning (ICML), 2023 Anurag Koul Shivakanth Sujit Shaoru Chen Ben Evans Lili Wu ... Yonathan Efroni Lekan Molu Miro Dudik John Langford Alex Lamb OffRL BDL 288 1 0 06 Nov 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 394 7 0 06 Nov 2023
SMORE: Score Models for Offline Goal-Conditioned Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023 Harshit S. Sikchi Rohan Chitnis Ahmed Touati A. Geramifard Amy Zhang S. Niekum OffRL 404 12 0 03 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 M. Gerstgrasser Tom Danino Sarah Keren 213 9 0 01 Nov 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human FeedbackConference on Robot Learning (CoRL), 2023 Max Balsells M. Torné Zihan Wang Samedh Desai Pulkit Agrawal Abhishek Gupta 207 12 0 31 Oct 2023
Learning to Discover Skills through GuidanceNeural Information Processing Systems (NeurIPS), 2023 Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Sejik Park Kyushik Min Jaegul Choo 276 10 0 31 Oct 2023
Contrastive Difference Predictive CodingInternational Conference on Learning Representations (ICLR), 2023 Chongyi Zheng Ruslan Salakhutdinov Benjamin Eysenbach AI4TS OffRL 279 25 0 31 Oct 2023
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang Rui Yang Xi Chen Hao Sun Meng Fang Giovanni Montana OffRL 369 15 0 30 Oct 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of SkillsInternational Conference on Machine Learning (ICML), 2023 Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 227 16 0 30 Oct 2023
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised LearningInternational Conference on Learning Representations (ICLR), 2023 Zhaoyi Zhou Chuning Zhu Runlong Zhou Qiwen Cui Abhishek Gupta S. S. Du OffRL 174 10 0 30 Oct 2023
Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution DisagreementNeural Information Processing Systems (NeurIPS), 2023 Daesol Cho Seungjae Lee H. J. Kim OODD 254 4 0 30 Oct 2023
Unsupervised Behavior Extraction via Random Intent PriorsNeural Information Processing Systems (NeurIPS), 2023 Haotian Hu Yiqin Yang Jianing Ye Ziqing Mai Chongjie Zhang OffRL 213 13 0 28 Oct 2023
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning Nicholas Corrado Yu-Tao Qu John U. Balis Adam Labiosa Josiah P. Hanna OffRL 231 7 0 27 Oct 2023
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning UpdatesInternational Conference on Learning Representations (ICLR), 2023 Nicholas Corrado Josiah P. Hanna 231 6 0 26 Oct 2023
CQM: Curriculum Reinforcement Learning with a Quantized World ModelNeural Information Processing Systems (NeurIPS), 2023 Seungjae Lee Daesol Cho Jonghae Park H. J. Kim 193 13 0 26 Oct 2023
Learning Agility and Adaptive Legged Locomotion via Curricular Hindsight Reinforcement LearningScientific Reports (Sci Rep), 2023 Sicen Li Yiming Pang Panju Bai Zhaojin Liu Jiawei Li Shihao Hu Liquan Wang Gang Wang 212 10 0 24 Oct 2023
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good StatesConference on Robot Learning (CoRL), 2023 Zidan Wang Takeru Oba Takuma Yoneda Rui Shen Matthew R. Walter Bradly C. Stadie DiffM 244 14 0 21 Oct 2023
Teaching Language Models to Self-Improve through Interactive Demonstrations Xiao Yu Baolin Peng Michel Galley Jianfeng Gao Zhou Yu LRM ReLM 224 27 0 20 Oct 2023
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous ControlNeural Information Processing Systems (NeurIPS), 2023 Chao Li Chen Gong Qiang He Xinwen Hou 179 4 0 17 Oct 2023
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization Bodhisattwa Prasad Majumder Bhavana Dalvi Peter Alexander Jansen Oyvind Tafjord Niket Tandon Li Zhang Chris Callison-Burch Peter Clark LRM LLMAG CLL 176 58 0 16 Oct 2023
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents Jake Grigsby Linxi Fan Yuke Zhu OffRL LM&Ro 248 44 0 15 Oct 2023
GROOT: Learning to Follow Instructions by Watching Gameplay VideosInternational Conference on Learning Representations (ICLR), 2023 Shaofei Cai Bowei Zhang Zihao Wang Xiaojian Ma Hoang Trung-Dung Yitao Liang 252 37 0 12 Oct 2023
Understanding the Effects of RLHF on LLM Generalisation and DiversityInternational Conference on Learning Representations (ICLR), 2023 Robert Kirk Ishita Mediratta Christoforos Nalmpantis Jelena Luketina Eric Hambro Edward Grefenstette Roberta Raileanu AI4CE ALM 476 246 0 10 Oct 2023
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot CollaborationIEEE International Conference on Robotics and Automation (ICRA), 2023 Jakob Thumm Felix Trost Matthias Althoff OffRL 256 10 0 09 Oct 2023
Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond Hao Sun OffRL 206 27 0 09 Oct 2023
Learning Interactive Real-World SimulatorsInternational Conference on Learning Representations (ICLR), 2023 Mengjiao Yang Yilun Du Kamyar Ghasemipour Jonathan Tompson Leslie Kaelbling Dale Schuurmans Pieter Abbeel LM&Ro PINN 280 314 0 09 Oct 2023
Compositional Servoing by Recombining DemonstrationsIEEE International Conference on Robotics and Automation (ICRA), 2023 Max Argus Abhijeet Nayak Martin Buchner Silvio Galesso Abhinav Valada Thomas Brox 161 1 0 06 Oct 2023
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A ComparisonInternational Conference on Machine Learning, Optimization, and Data Science (MOD), 2023 Moritz Lange Noah Krystiniak Raphael C. Engelhardt Wolfgang Konen Laurenz Wiskott OffRL 140 2 0 06 Oct 2023
Pre-Training and Fine-Tuning Generative Flow NetworksInternational Conference on Learning Representations (ICLR), 2023 Ling Pan Moksh Jain Kanika Madan Yoshua Bengio 189 18 0 05 Oct 2023
Roadmaps with Gaps over Controllers: Achieving Efficiency in Planning under DynamicsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Aravind Sivaramakrishnan Sumanth Tangirala Edgar Granados Noah R. Carver Kostas E. Bekris 187 3 0 05 Oct 2023
Learning to Reach Goals via DiffusionInternational Conference on Machine Learning (ICML), 2023 V. Jain Siamak Ravanbakhsh DiffM OffRL 166 10 0 04 Oct 2023
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion ModelInternational Conference on Learning Representations (ICLR), 2023 Zibin Dong Yifu Yuan Jianye Hao Fei Ni Yao Mu Yan Zheng Yujing Hu Tangjie Lv Changjie Fan Zhipeng Hu 203 37 0 03 Oct 2023
Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiencyInternational Conference on Automation, Robotics and Applications (ICARA), 2023 Francisco Roldan Sanchez Qiang Wang David Córdova Bulens Kevin McGuinness Stephen J. Redmond Noel E. O'Connor OffRL OnRL 154 1 0 03 Oct 2023
Efficient Planning with Latent DiffusionInternational Conference on Learning Representations (ICLR), 2023 Wenhao Li DiffM 338 10 0 30 Sep 2023
On Generating Explanations for Reinforcement Learning Policies: An Empirical StudyIEEE Control Systems Letters (L-CSS), 2023 Mikihisa Yuasa Huy T. Tran R. Sreenivas FAtt LRM 455 1 0 29 Sep 2023