Title
Constructing an Optimal Behavior Basis for the Option Keyboard L. N. Alegre A. Bazzan André Barreto Bruno C. da Silva 26 0 0 01 May 2025
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning Luc McCutcheon Bahman Gharesifard Saber Fallah 53 0 0 19 Mar 2025
Reducing Reward Dependence in RL Through Adaptive Confidence Discounting Muhammed Yusuf Satici David L. Roberts OffRL 46 0 0 28 Feb 2025
Warm Starting of CMA-ES for Contextual Optimization Problems Yuta Sekino Kento Uchida Shinichi Shirakawa 83 0 0 18 Feb 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun Luo 81 1 0 28 Jan 2025
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning Hao Sun M. Schaar 94 14 0 28 Jan 2025
OGBench: Benchmarking Offline Goal-Conditioned RL Seohong Park Kevin Frans Benjamin Eysenbach Sergey Levine OffRL 62 10 0 26 Oct 2024
Zero-Shot Offline Imitation Learning via Optimal Transport Thomas Rupf Marco Bagatella Nico Gürtler Jonas Frey Georg Martius OffRL 186 0 0 11 Oct 2024
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining Jie Cheng Ruixi Qiao Gang Xiong Binhua Li Yingwei Ma Binhua Li Yongbin Li Yisheng Lv OffRL OnRL LM&Ro 50 3 0 01 Oct 2024
Quasimetric Value Functions with Dense Rewards Khadichabonu Valieva Bikramjit Banerjee OffRL 35 0 0 13 Sep 2024
Emergence in Multi-Agent Systems: A Safety Perspective Philipp Altmann Julian Schonberger Steffen Illium Maximilian Zorn Fabian Ritz Tom Haider Simon Burton Thomas Gabor 40 1 0 08 Aug 2024
Exploration by Learning Diverse Skills through Successor State Measures Paul-Antoine Le Tolguenec Yann Besse Florent Teichteil-Königsbuch Dennis G. Wilson Emmanuel Rachelson 40 0 0 14 Jun 2024
Diffusion-Reward Adversarial Imitation Learning Chun-Mao Lai Hsiang-Chun Wang Ping-Chun Hsieh Yu-Chiang Frank Wang Min-Hung Chen Shao-Hua Sun 37 8 0 25 May 2024
Going into Orbit: Massively Parallelizing Episodic Reinforcement Learning Jan Oberst Johann Bonneau 21 0 0 19 May 2024
I-CTRL: Imitation to Control Humanoid Robots Through Constrained Reinforcement Learning Yashuai Yan Esteve Valls Mascaro Tobias Egle Dongheui Lee 38 4 0 14 May 2024
Offline Goal-Conditioned Reinforcement Learning for Shape Control of Deformable Linear Objects Rita Laezza Mohammadreza Shetab-Bushehri Gabriel Arslan Waltersson Erol Özgür Y. Mezouar Y. Karayiannidis OffRL 46 0 0 15 Mar 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji Yongyuan Liang Yan Zeng Yu-Juan Luo Guowei Xu Jiawei Guo Ruijie Zheng Furong Huang Gang Hua Huazhe Xu CML 50 11 0 22 Feb 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning Zhiheng Xi Wenxiang Chen Boyang Hong Senjie Jin Rui Zheng ... Xinbo Zhang Peng Sun Tao Gui Qi Zhang Xuanjing Huang LRM 42 21 0 08 Feb 2024
Robotic Control of the Deformation of Soft Linear Objects Using Deep Reinforcement Learning Mélodie Hani Daniel Zakaria Miguel Aranda Laurent Lequievre S. Lengagne J. Corrales Y. Mezouar AI4CE 20 6 0 08 Dec 2023
Contact Energy Based Hindsight Experience Prioritization Erdi Sayar Zhenshan Bing Carlo DÉramo Ozgur S. Oguz Alois Knoll 18 3 0 05 Dec 2023
Offline Skill Generalization via Task and Motion Planning Shin Watanabe Geir Horn J. Tørresen K. Ellefsen OffRL 28 0 0 24 Nov 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 37 4 0 06 Nov 2023
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents Olivier Sigaud Gianluca Baldassarre Cédric Colas Stéphane Doncieux Richard J. Duro Pierre-Yves Oudeyer Nicolas Perrin-Gilbert V. Santucci AI4CE 34 10 0 01 Nov 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 41 7 0 30 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 34 21 0 09 Oct 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning Hongyu Ding Yuan-Yan Tang Qing Wu Bo Wang Chunlin Chen Zhi Wang 37 4 0 16 Jul 2023
Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays Lucy McCutcheon Saber Fallah 25 0 0 26 May 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum Jigang Kim Daesol Cho H. J. Kim 24 3 0 17 May 2023
Distance Weighted Supervised Learning for Offline Interaction Data Joey Hejna Jensen Gao Dorsa Sadigh OffRL 38 13 0 26 Apr 2023
Aiding reinforcement learning for set point control Ruoqing Zhang Per Mattsson T. Wigren 21 3 0 20 Apr 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction Utsav Singh Vinay P. Namboodiri 36 3 0 07 Apr 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang Antonio Torralba Phillip Isola Amy Zhang OffRL 34 33 0 03 Apr 2023
Active Reward Learning from Online Preferences Vivek Myers Erdem Biyik Dorsa Sadigh OffRL 37 12 0 27 Feb 2023
High-Precise Robot Arm Manipulation based on Online Iterative Learning and Forward Simulation with Positioning Error Below End-Effector Physical Minimum Displacement Weiming Qu Tianlin Liu D. Luo 21 2 0 26 Feb 2023
Diffusion Model-Augmented Behavioral Cloning Shangcheng Chen Hsiang-Chun Wang Ming-Hao Hsu Chun-Mao Lai Shao-Hua Sun DiffM 55 31 0 26 Feb 2023
Swapped goal-conditioned offline reinforcement learning Wenyan Yang Huiling Wang Dingding Cai Joni Pajarinen Joni-Kristen Kämäräinen OffRL OnRL 36 1 0 17 Feb 2023
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability Hanlin Zhu Amy Zhang OffRL 24 2 0 07 Feb 2023
Task-sequencing Simulator: Integrated Machine Learning to Execution Simulation for Robot Manipulation Kazuhiro Sasabuchi Daichi Saito Atsushi Kanehira Naoki Wake Jun Takamatsu Katsushi Ikeuchi 28 7 0 03 Jan 2023
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation Zhao Yang Thomas M. Moerland Mike Preuss Aske Plaat 33 2 0 06 Dec 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance C. Chang Ni Mu Jiajun Wu Ling Pan Huazhe Xu 50 7 0 05 Dec 2022
Funnel-based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learning Naman Saxena Sandeep Gorantla Pushpak Jagtap 39 4 0 30 Nov 2022
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning Riashat Islam Hongyu Zang Anirudh Goyal Alex Lamb Kenji Kawaguchi Xin-hui Li Romain Laroche Yoshua Bengio Rémi Tachet des Combes OffRL AI4CE 23 9 0 01 Nov 2022
Reinforcement Learning for Solving Robotic Reaching Tasks in the Neurorobotics Platform Márton Szep Leander Lauenburg Kevin Farkas Xiyan Su Chuanlong Zang 16 0 0 31 Oct 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 34 3 0 28 Oct 2022
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning Lingfeng Sun Haichao Zhang Wei-ping Xu Masayoshi Tomizuka MoE 30 37 0 21 Oct 2022
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control Yanfei Xiang Xin Wang Shu Hu Bin Zhu Xiaomeng Huang Xi Wu Siwei Lyu SSL 29 5 0 20 Oct 2022
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations Kai Yan A. Schwing Yu-xiong Wang OffRL 30 2 0 18 Oct 2022
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning Zih-Yun Chiu Yi-Lin Tuan William Yang Wang Michael C. Yip OffRL 25 3 0 07 Oct 2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation Julian Alverio Boris Katz Andrei Barbu 35 0 0 05 Oct 2022
Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations Francisco Roldan Sanchez Qiang-qiang Wang David Córdova Bulens Kevin McGuinness Stephen J. Redmond Noel E. O'Connor 18 1 0 03 Oct 2022