Title
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning Amogh Joshi Adarsh Kosta Kaushik Roy OffRL 109 2 0 16 Sep 2024
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator Hemant Kumawat Biswadeep Chakraborty Saibal Mukhopadhyay 131 3 0 04 Sep 2024
Semantically Controllable Augmentations for Generalizable Robot Learning Zoey Chen Zhao Mandi Homanga Bharadhwaj Mohit Sharma Shuran Song Abhishek Gupta Vikash Kumar LM&Ro 107 7 0 02 Sep 2024
A Safety-Oriented Self-Learning Algorithm for Autonomous Driving: Evolution Starting from a Basic Model Shuo Yang Caojun Wang Zhenyu Ma Yanjun Huang Hong Chen 41 0 0 22 Aug 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen Kenneth Marino Rob Fergus OCL 141 1 0 21 Aug 2024
Enhancing Reinforcement Learning Through Guided Search Jérôme Arjonilla Abdallah Saffidine Tristan Cazenave OffRL 181 0 0 19 Aug 2024
HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis Zhi-Bo Liu Xiaobo Pang Jizhao Wang Shuai Liu Chen Li 96 1 0 16 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 108 1 0 30 Jul 2024
NAVIX: Scaling MiniGrid Environments with JAX Eduardo Pignatelli Jarek Liesen R. T. Lange Chris Xiaoxuan Lu Pablo Samuel Castro Laura Toni 144 4 0 28 Jul 2024
On shallow planning under partial observability Randy Lefebvre Audrey Durand OffRL 71 1 0 22 Jul 2024
Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning Yuxuan Jiang Yujie Yang Zhiqian Lan Guojian Zhan Shengbo Eben Li Qi Sun Jian Ma Tianwen Yu Changwu Zhang 52 1 0 21 Jul 2024
GNN with Model-based RL for Multi-agent Systems Hanxiao Chen AI4CE 77 0 0 12 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 130 1 0 12 Jul 2024
Generalizing soft actor-critic algorithms to discrete action spaces Le Zhang Yong Gu Xin Zhao Yanshuo Zhang Shu Zhao Yifei Jin Xinxin Wu 95 0 0 08 Jul 2024
Efficient World Models with Context-Aware Tokenization Vincent Micheli Eloi Alonso François Fleuret OffRL VLM 80 6 0 27 Jun 2024
On the consistency of hyper-parameter selection in value-based deep reinforcement learning J. Obando-Ceron J. G. Araújo Rameswar Panda Pablo Samuel Castro 127 9 0 25 Jun 2024
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models Yang Zhang Chenjia Bai Bin Zhao Junchi Yan Xiu Li Xuelong Li OffRL 64 2 0 22 Jun 2024
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning Matthias Weissenbacher Rishabh Agarwal Yoshinobu Kawahara OffRL 64 1 0 21 Jun 2024
Pandora: Towards General World Model with Natural Language Actions and Video States Jiannan Xiang Guangyi Liu Yi Gu Qiyue Gao Yuting Ning ... Shibo Hao Yemin Shi Zhengzhong Liu Eric P. Xing Zhiting Hu VGen 151 43 0 12 Jun 2024
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning Donghu Kim Hojoon Lee Kyungmin Lee Dongyoon Hwang Jaegul Choo OffRL 92 1 0 10 Jun 2024
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning Quentin Delfosse Johannes Czech Bjarne Gregori Kristian Kersting 90 8 0 06 Jun 2024
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning Inwoo Hwang Yunhyeok Kwak Suhyung Choi Byoung-Tak Zhang Sanghack Lee 119 1 0 05 Jun 2024
Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment Tianyu Wang Dwait Bhatt Xiaolong Wang Nikolay Atanasov 129 5 0 04 Jun 2024
Learning to Play Atari in a World of Tokens Pranav Agarwal Sheldon Andrews Samira Ebrahimi Kahou OffRL 98 2 0 03 Jun 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 90 10 0 03 Jun 2024
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models Zeyu Fang Tian Lan OffRL 120 2 0 30 May 2024
Hierarchical World Models as Visual Whole-Body Humanoid Controllers Nicklas Hansen V. JyothirS Vlad Sobal Yann LeCun Xiaolong Wang Hao Su VGen 142 11 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 145 5 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 127 40 0 24 May 2024
MuDreamer: Learning Predictive World Models without Reconstruction Maxime Burchi Radu Timofte 75 4 0 23 May 2024
Agent Planning with World Knowledge Model Shuofei Qiao Runnan Fang Ningyu Zhang Yuqi Zhu Xiang Chen Shumin Deng Yong Jiang Pengjun Xie Fei Huang Huajun Chen LLMAG LM&Ro 208 24 0 23 May 2024
Diffusion for World Modeling: Visual Details Matter in Atari Eloi Alonso Adam Jelley Vincent Micheli Anssi Kanervisto Amos Storkey Tim Pearce Franccois Fleuret 115 69 0 20 May 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning Xin Liu Yaran Chen Dong Zhao 79 2 0 20 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 91 3 0 20 May 2024
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond Zheng Zhu Xiaofeng Wang Wangbo Zhao Chen Min Nianchen Deng ... Dawei Zhao Liang Xiao Jian-jun Zhao Jiwen Lu Guan Huang VGen LM&Ro 179 48 0 06 May 2024
Point Cloud Models Improve Visual Robustness in Robotic Learners Skand Peri Iain Lee Chanho Kim Fuxin Li Tucker Hermans Stefan Lee 3DPC 125 4 0 29 Apr 2024
Hierarchical Decision Making Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 77 0 0 15 Apr 2024
Tree Search-Based Policy Optimization under Stochastic Execution Delay David Valensi E. Derman Shie Mannor Gal Dalal 29 3 0 08 Apr 2024
Action-conditioned video data improves predictability Meenakshi Sarkar Debasish Ghose VGen 102 0 0 08 Apr 2024
Model-based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang Haotian Fu Yilin Miao George Konidaris 87 3 0 03 Apr 2024
Deep Reinforcement Learning in Autonomous Car Path Planning and Control: A Survey Yiyang Chen Chao Ji Yunrui Cai Tong Yan Bo Su 86 11 0 30 Mar 2024
Deep Gaussian Covariance Network with Trajectory Sampling for Data-Efficient Policy Search Can Bogoclu Robert Vosshall K. Cremanns Dirk Roos BDL 52 1 0 23 Mar 2024
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning Giorgio Franceschelli Mirco Musolesi AI4CE 89 0 0 12 Mar 2024
Mastering Memory Tasks with World Models Mohammad Reza Samsami Artem Zholus Janarthanan Rajendran Sarath Chandar CLL OffRL 102 28 0 07 Mar 2024
A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation Di Zhang Moyang Wang Joseph D Mango Xiang Li Xianrui Xu 109 1 0 06 Mar 2024
World Models for Autonomous Driving: An Initial Survey Yanchen Guan Haicheng Liao Zhenning Li Jia Hu Runze Yuan Yunjian Li Guohui Zhang Chengzhong Xu 160 43 0 05 Mar 2024
SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation Noriaki Hirose Dhruv Shah Kyle Stachowicz A. Sridhar Sergey Levine 126 5 0 01 Mar 2024
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data Shengjie Wang Shaohuai Liu Weirui Ye Jiacheng You Yang Gao OffRL 107 15 0 01 Mar 2024
In value-based deep reinforcement learning, a pruned network is a good network J. Obando-Ceron Rameswar Panda Pablo Samuel Castro OffRL 124 26 0 19 Feb 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 121 1 0 17 Feb 2024