Title
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Jun Guo Xiaojian Ma Yikai Wang Min Yang Huaping Liu Qing Li VGen 39 0 0 15 May 2025
Scaling Multi Agent Reinforcement Learning for Underwater Acoustic Tracking via Autonomous Vehicles Matteo Gallici Ivan Masmitja Mario Martin OffRL 29 0 0 13 May 2025
Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning Feiyu Lu Mengyu Chen Hsiang Hsu Pranav Deshpande Cheng Yao Wang Blair MacIntyre 35 3 0 30 Apr 2025
Toward Efficient Exploration by Large Language Model Agents Dilip Arumugam Thomas L. Griffiths LLMAG 94 1 0 29 Apr 2025
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning Yongshuai Liu Xin Liu 98 1 0 26 Mar 2025
Extendable Long-Horizon Planning via Hierarchical Multiscale Diffusion Chang Chen Hany Hamed Doojin Baek Taegu Kang Yoshua Bengio Sungjin Ahn 57 0 0 25 Mar 2025
AdaWorld: Learning Adaptable World Models with Latent Actions Shenyuan Gao Siyuan Zhou Yilun Du Jun Zhang Chuang Gan VGen 73 4 0 24 Mar 2025
Multi-Task Reinforcement Learning Enables Parameter Scaling Reginald McLean Evangelos Chataroulas Jordan Terry Isaac Woungang Nariman Farsad Pablo Samuel Castro LRM 54 1 0 07 Mar 2025
GLAM: Global-Local Variation Awareness in Mamba-based World Model Qian He Wenqi Liang Chunhui Hao Gan Sun Jiandong Tian 66 0 0 21 Jan 2025
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan Dixant Mittal Wee Sun Lee BDL 79 0 0 17 Jan 2025
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos Xin Liu Yaran Chen Haoran Li SSL 99 0 0 14 Dec 2024
EconoJax: A Fast & Scalable Economic Simulation in Jax Koen Ponse Aske Plaat Niki van Stein Thomas M. Moerland 38 0 0 29 Oct 2024
Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL Ömer Veysel Çağatan Barış Akgün OffRL 44 0 0 22 Oct 2024
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient Wenlong Wang Ivana Dusparic Yucheng Shi Ke Zhang Vinny Cahill Mamba 233 0 0 11 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
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 47 0 0 07 Oct 2024
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning Amogh Joshi Adarsh Kosta Kaushik Roy OffRL 55 2 0 16 Sep 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen Kenneth Marino Rob Fergus OCL 63 1 0 21 Aug 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang Erdun Gao Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 43 1 0 30 Jul 2024
On shallow planning under partial observability Randy Lefebvre Audrey Durand OffRL 44 1 0 22 Jul 2024
Show, Don't Tell: Evaluating Large Language Models Beyond Textual Understanding with ChildPlay Gonçalo Hora de Carvalho Oscar Knap R. Pollice ReLM ELM LRM 36 1 0 12 Jul 2024
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach Yuxuan Chen Rongpeng Li Xiaoxue Yu Zhifeng Zhao Honggang Zhang 47 9 0 03 Jun 2024
Hierarchical World Models as Visual Whole-Body Humanoid Controllers Nicklas Hansen V. JyothirS Vlad Sobal Yann LeCun Xiaolong Wang Hao Su VGen 57 10 0 28 May 2024
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search Max Liu Chan-Hung Yu Wei-Hsu Lee Cheng-Wei Hung Yen-Chun Chen Shao-Hua Sun 55 4 0 26 May 2024
iVideoGPT: Interactive VideoGPTs are Scalable World Models Jialong Wu Shaofeng Yin Ningya Feng Xu He Dong Li Haifeng Zhang Mingsheng Long VGen 54 26 0 24 May 2024
Agent Planning with World Knowledge Model Shuofei Qiao Runnan Fang Ningyu Zhang Yuqi Zhu Xiang Chen Shumin Deng Yong-jia Jiang Pengjun Xie Fei Huang Huajun Chen LLMAG LM&Ro 97 15 0 23 May 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning Xin Liu Yaran Chen Dong Zhao 50 1 0 20 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 45 3 0 20 May 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 42 0 0 15 Apr 2024
Action-conditioned video data improves predictability Meenakshi Sarkar Debasish Ghose VGen 53 0 0 08 Apr 2024
Model-based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang Haotian Fu Yilin Miao George Konidaris 31 3 0 03 Apr 2024
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics Xinyu Zhang Wenjie Qiu Yi-Chen Li Lei Yuan Chengxing Jia Zongzhang Zhang Yang Yu OffRL 47 1 0 17 Feb 2024
Improving Token-Based World Models with Parallel Observation Prediction Lior Cohen Kaixin Wang Bingyi Kang Shie Mannor 46 3 0 08 Feb 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 29 21 0 17 Jan 2024
AutoTask: Executing Arbitrary Voice Commands by Exploring and Learning from Mobile GUI Lihang Pan Bowen Wang Chun Yu Yuxuan Chen Xiangyu Zhang Yuanchun Shi 47 3 0 26 Dec 2023
$Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks$ Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 51 4 0 14 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 80 5 0 13 Dec 2023
Backward Learning for Goal-Conditioned Policies Marc Höftmann Jan Robine Stefan Harmeling 42 1 0 08 Dec 2023
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion Lunjun Zhang Yuwen Xiong Ze Yang Sergio Casas Rui Hu R. Urtasun 47 51 0 02 Nov 2023
A Tractable Inference Perspective of Offline RL Xuejie Liu Guy Van den Broeck Mathias Niepert Yitao Liang OffRL 36 1 0 31 Oct 2023
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models Paul Mattes Rainer Schlosser R. Herbrich 29 4 0 08 Oct 2023
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation Hanqing Wang Wei Liang Luc Van Gool Wenguan Wang LM&Ro 40 28 0 14 Aug 2023
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning Outongyi Lv Bingxin Zhou OffRL 44 0 0 05 Jul 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems Andrew Wagenmaker Guanya Shi Kevin G. Jamieson 41 14 0 15 Jun 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 35 9 0 06 Jun 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Rameswar Panda Marc G. Bellemare Rishabh Agarwal Pablo Samuel Castro OffRL 54 85 0 30 May 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu Haoyu Ma Chao Deng Mingsheng Long OffRL 36 25 0 29 May 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 36 9 0 29 May 2023
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching Yecheng Jason Ma K. Sivakumar Jason Yan Osbert Bastani Dinesh Jayaraman OffRL MU 32 6 0 22 May 2023
Hierarchical State Abstraction Based on Structural Information Principles Xianghua Zeng Hao Peng Angsheng Li Chunyang Liu Lifang He Philip S. Yu 33 18 0 24 Apr 2023