Title
SAINT: Attention-Based Modeling of Sub-Action Dependencies in Multi-Action Policies Matthew Landers Taylor W. Killian Thomas Hartvigsen Afsaneh Doryab 7 0 0 17 May 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 22 0 0 15 May 2025
ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Jing-Cheng Pang Kaiyuan Li Yansen Wang Si-Hang Yang Shengyi Jiang Yang Yu OffRL LLMAG LM&Ro LRM 19 0 0 15 May 2025
Learning Diverse Natural Behaviors for Enhancing the Agility of Quadrupedal Robots Huiqiao Fu Haoyu Dong Wentao Xu Zhehao Zhou Guizhou Deng Kaiqiang Tang D. Dong Chunlin Chen 24 0 0 15 May 2025
ADD: Physics-Based Motion Imitation with Adversarial Differential Discriminators Ziyu Zhang S. Bashkirov Dun Yang Michael Taylor Xue Bin Peng 38 0 0 08 May 2025
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning Shangzhe Li Zhiao Huang Hao Su 71 0 0 04 May 2025
Q-function Decomposition with Intervention Semantics with Factored Action Spaces Junkyu Lee Tian Gao Elliot Nelson Miao Liu D. Bhattacharjya Songtao Lu OffRL 45 0 0 30 Apr 2025
Solving New Tasks by Adapting Internet Video Knowledge Calvin Luo Zilai Zeng Yilun Du Chen Sun 33 1 0 21 Apr 2025
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning Shiguang Sun Hanbo Zhang Zeyang Liu Xinrui Yang Lipeng Wan Bing Yan Xingyu Chen Xuguang Lan 40 0 0 05 Apr 2025
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning Chan Kim Seung-Woo Seo Seong-Woo Kim OODD 211 0 0 21 Mar 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning Hojoon Lee Youngdo Lee Takuma Seno Donghu Kim Peter Stone Jaegul Choo 63 1 0 24 Feb 2025
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks Thomas Schmied Thomas Adler Vihang Patil M. Beck Korbinian Poppel Johannes Brandstetter Günter Klambauer Razvan Pascanu Sepp Hochreiter 75 5 0 21 Feb 2025
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning Bryan L. M. de Oliveira Murilo L. da Luz Bruno Brandão Luana G. B. Martins Telma W. de L. Soares Luckeciano C. Melo OffRL 70 1 0 17 Feb 2025
Skill Expansion and Composition in Parameter Space Tenglong Liu Junjie Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 58 4 0 09 Feb 2025
Learning Fused State Representations for Control from Multi-View Observations Zeyu Wang Yao Li Xin Li Hongyu Zang Romain Laroche Riashat Islam OffRL 54 0 0 03 Feb 2025
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight Angel Romero Ashwin Shenai Ismail Geles Elie Aljalbout Davide Scaramuzza 79 1 0 24 Jan 2025
RbRL2.0: Integrated Reward and Policy Learning for Rating-based Reinforcement Learning Mingkang Wu Devin White Vernon J. Lawhern Nicholas R. Waytowich Yongcan Cao OffRL 39 0 0 13 Jan 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching A. Jain Harley Wiltzer Jesse Farebrother Irina Rish Glen Berseth Sanjiban Choudhury 57 1 0 11 Nov 2024
Approximate Equivariance in Reinforcement Learning Jung Yeon Park Sujay Bhatt Sihan Zeng Lawson L. S. Wong Alec Koppel Sumitra Ganesh Robin Walters 37 1 0 06 Nov 2024
OGBench: Benchmarking Offline Goal-Conditioned RL Seohong Park Kevin Frans Benjamin Eysenbach Sergey Levine OffRL 62 9 0 26 Oct 2024
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models Michael Noukhovitch Shengyi Huang Sophie Xhonneux Arian Hosseini Rishabh Agarwal Rameswar Panda OffRL 85 5 0 23 Oct 2024
Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL Ömer Veysel Çağatan Barış Akgün OffRL 34 0 0 22 Oct 2024
Diffusing States and Matching Scores: A New Framework for Imitation Learning Runzhe Wu Yiding Chen Gokul Swamy Kianté Brantley Wen Sun DiffM 46 3 0 17 Oct 2024
Reward-free World Models for Online Imitation Learning Shangzhe Li Zhiao Huang H. Su OffRL 67 1 0 17 Oct 2024
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control Jinzhu Luo Dingyang Chen Qi Zhang OffRL 26 0 0 16 Oct 2024
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 33 1 0 12 Oct 2024
Masked Generative Priors Improve World Models Sequence Modelling Capabilities Cristian Meo Mircea Lica Zarif Ikram Akihiro Nakano Vedant Shah Aniket Didolkar Dianbo Liu Anirudh Goyal Justin Dauwels OffRL 90 0 0 10 Oct 2024
Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu J. Obando-Ceron Rameswar Panda L. Pan 42 3 0 10 Oct 2024
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation Sumeet Batra Gaurav Sukhatme OffRL DRL 31 2 0 09 Oct 2024
Synthesizing Interpretable Control Policies through Large Language Model Guided Search Carlo Bosio Mark W. Mueller 29 0 0 07 Oct 2024
Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences Z. Liu Junjie Xu Xingjiao Wu J. Yang Liang He 26 0 0 11 Sep 2024
Advances in Preference-based Reinforcement Learning: A Review Youssef Abdelkareem Shady Shehata Fakhri Karray OffRL 51 9 0 21 Aug 2024
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark Nikita Chernyadev Nicholas Backshall Xiao Ma Yunfan Lu Younggyo Seo Stephen James 22 11 0 10 Jul 2024
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning Augustine N. Mavor-Parker Matthew J. Sargent Caswell Barry Lewis D. Griffin Clare Lyle 47 2 0 09 Jul 2024
Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers Harald Semmelrock Tony Ross-Hellauer Simone Kopeinik Dieter Theiler Armin Haberl Stefan Thalmann Dominik Kowald 65 6 0 20 Jun 2024
BAKU: An Efficient Transformer for Multi-Task Policy Learning Siddhant Haldar Zhuoran Peng Lerrel Pinto OffRL 46 28 0 11 Jun 2024
Decoupling regularization from the action space Sobhan Mohammadpour Emma Frejinger Pierre-Luc Bacon 37 0 0 10 Jun 2024
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity Calarina Muslimani Bram Grooten Deepak Ranganatha Sastry Mamillapalli Mykola Pechenizkiy Decebal Constantin Mocanu Matthew E. Taylor 54 0 0 10 Jun 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 38 0 0 03 Jun 2024
Value Improved Actor Critic Algorithms Yaniv Oren Moritz A. Zanger Pascal R. van der Vaart M. Spaan Wendelin Bohmer Wendelin Bohmer OffRL 33 0 0 03 Jun 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Donghu Kim Jaegul Choo 39 1 0 01 Jun 2024
Intrinsic Dynamics-Driven Generalizable Scene Representations for Vision-Oriented Decision-Making Applications Dayang Liang Jinyang Lai Yunlong Liu 33 0 0 30 May 2024
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning Shangding Gu Bilgehan Sel Yuhao Ding Lu Wang Qingwei Lin Alois Knoll Ming Jin 42 1 0 26 May 2024
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control Michal Nauman M. Ostaszewski Krzysztof Jankowski Piotr Milo's Marek Cygan OffRL 47 16 0 25 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 82 43 0 23 May 2024
AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents Christopher Rawles Sarah Clinckemaillie Yifan Chang Jonathan Waltz Gabrielle Lau ... Daniel Toyama Robert Berry Divya Tyamagundlu Timothy Lillicrap Oriana Riva LLMAG 69 44 0 23 May 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning Xin Liu Yaran Chen Dong Zhao 43 1 0 20 May 2024
CTD4 -- A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics David Valencia Henry Williams Trevor Gee Bruce A MacDonaland Minas V. Liarokapis Minas Liarokapis OffRL 34 2 0 04 May 2024
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning Calarina Muslimani Matthew E. Taylor OffRL 46 2 0 30 Apr 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration Yibo Wang Jiang Zhao OffRL OnRL 27 0 0 31 Mar 2024