Title
Continuous Control Reinforcement Learning: Distributed Distributional DrQ Algorithms Zehao Zhou OffRL 29 0 0 16 Apr 2024
Adversarial Imitation Learning via Boosting Jonathan D. Chang Dhruv Sreenivas Yingbing Huang Kianté Brantley Wen Sun 29 3 0 12 Apr 2024
AI-MOLE: Autonomous Iterative Motion Learning for Unknown Nonlinear Dynamics with Extensive Experimental Validation Michael Meindl Simon Bachhuber Thomas Seel 41 4 0 09 Apr 2024
SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring Kaichen Huang Minghao Shao Shenghua Wan Hai-Hang Sun Shuai Feng Le Gan De-Chuan Zhan 40 0 0 04 Apr 2024
Decision Transformer as a Foundation Model for Partially Observable Continuous Control Xiangyuan Zhang Weichao Mao Haoran Qiu Tamer Basar OffRL AI4CE 32 6 0 03 Apr 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration Yibo Wang Jiang Zhao OffRL OnRL 30 0 0 31 Mar 2024
Simple Ingredients for Offline Reinforcement Learning Edoardo Cetin Andrea Tirinzoni Matteo Pirotta A. Lazaric Yann Ollivier Ahmed Touati OffRL 42 2 0 19 Mar 2024
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization Sai Prasanna Karim Farid Raghu Rajan André Biedenkapp 60 2 0 16 Mar 2024
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation Carmelo Sferrazza Dun-Ming Huang Xingyu Lin Youngwoon Lee Pieter Abbeel 57 37 0 15 Mar 2024
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors Yucen Wang Shenghua Wan Le Gan Shuai Feng De-Chuan Zhan VGen 27 4 0 15 Mar 2024
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation Chengshu Li Ruohan Zhang J. Wong Cem Gokmen S. Srivastava ... Silvio Savarese H. Gweon Chenxi Liu Jiajun Wu Fei-Fei Li VGen LM&Ro VLM 37 37 0 14 Mar 2024
Spatiotemporal Predictive Pre-training for Robotic Motor Control Jiange Yang Bei Liu Jianlong Fu Bocheng Pan Gangshan Wu Limin Wang 53 10 0 08 Mar 2024
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning Hongjoon Ahn Jinu Hyeon Youngmin Oh Bosun Hwang Taesup Moon CLL OnRL 37 2 0 08 Mar 2024
Mastering Memory Tasks with World Models Mohammad Reza Samsami Artem Zholus Janarthanan Rajendran Sarath Chandar CLL OffRL 34 23 0 07 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 40 33 0 05 Mar 2024
A Case for Validation Buffer in Pessimistic Actor-Critic Michal Nauman M. Ostaszewski Marek Cygan 34 0 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 29 13 0 01 Mar 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning Michal Nauman Michal Bortkiewicz Piotr Milo's Tomasz Trzciñski M. Ostaszewski Marek Cygan OffRL 35 17 0 01 Mar 2024
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations E. C. Ozcan Vittorio Giammarino James Queeney I. Paschalidis OffRL 42 0 0 29 Feb 2024
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards Katherine Metcalf Miguel Sarabia Natalie Mackraz B. Theobald 42 6 0 28 Feb 2024
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences Jie Cheng Gang Xiong Xingyuan Dai Qinghai Miao Yisheng Lv Fei-Yue Wang 33 15 0 27 Feb 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings Kevin Frans Seohong Park Pieter Abbeel Sergey Levine OffRL 48 11 0 27 Feb 2024
Foundation Policies with Hilbert Representations Seohong Park Tobias Kreiman Sergey Levine SSL OffRL 50 21 0 23 Feb 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data YongKyung Oh Dongyoung Lim Sungil Kim AI4TS 43 13 0 22 Feb 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 55 11 0 22 Feb 2024
Enhancing Reinforcement Learning Agents with Local Guides Paul Daoudi Bogdan Robu Christophe Prieur Ludovic Dos Santos M. Barlier OnRL 31 3 0 21 Feb 2024
Revisiting Data Augmentation in Deep Reinforcement Learning Jianshu Hu Yunpeng Jiang Paul Weng OffRL 37 6 0 19 Feb 2024
Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent Quentin Gallouedec E. Beeching Clément Romac Emmanuel Dellandrea 26 11 0 15 Feb 2024
Task-conditioned adaptation of visual features in multi-task policy learning Pierre Marza L. Matignon Olivier Simonin Christian Wolf 53 2 0 12 Feb 2024
Real-World Robot Applications of Foundation Models: A Review Kento Kawaharazuka T. Matsushima Andrew Gambardella Jiaxian Guo Chris Paxton Andy Zeng OffRL VLM LM&Ro 51 47 0 08 Feb 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Zackory M. Erickson David Held David Held 34 4 0 08 Feb 2024
Reinforcement Learning from Bagged Reward Yuting Tang Xin-Qiang Cai Yao-Xiang Ding Qiyu Wu Guoqing Liu Masashi Sugiyama OffRL 36 0 0 06 Feb 2024
Transductive Reward Inference on Graph B. Qu Xiaofeng Cao Qing Guo Yi Chang Ivor W. Tsang Chengqi Zhang OffRL 38 0 0 06 Feb 2024
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning Abdelhakim Benechehab Albert Thomas Giuseppe Paolo Maurizio Filippone Balázs Kégl NoLa 28 1 0 05 Feb 2024
Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement Nikolaus Feith Elmar Rueckert 37 1 0 23 Jan 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms Pengyi Li Jianye Hao Hongyao Tang Xian Fu Yan Zheng Ke Tang 39 9 0 22 Jan 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 59 124 0 17 Jan 2024
Crowd-PrefRL: Preference-Based Reward Learning from Crowds David Chhan Ellen R. Novoseller Vernon J. Lawhern 40 5 0 17 Jan 2024
Personalized Reinforcement Learning with a Budget of Policies Dmitry Ivanov Omer Ben-Porat OffRL 6 2 0 12 Jan 2024
A Minimaximalist Approach to Reinforcement Learning from Human Feedback Gokul Swamy Christoph Dann Rahul Kidambi Zhiwei Steven Wu Alekh Agarwal OffRL 41 96 0 08 Jan 2024
Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges Xiaoqian Liu Jianbin Jiao Junge Zhang OffRL LRM 46 2 0 29 Dec 2023
Gradient-based Planning with World Models V. JyothirS Siddhartha Jalagam Yann LeCun Vlad Sobal 34 4 0 28 Dec 2023
Generalizable Visual Reinforcement Learning with Segment Anything Model Ziyu Wang Yanjie Ze Yifei Sun Zhecheng Yuan Huazhe Xu VLM 33 8 0 28 Dec 2023
Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions André Yuji Yasutomi Hideyuki Ichiwara Hiroshi Ito Hiroki Mori Tetsuya Ogata 9 19 0 27 Dec 2023
Efficient Reinforcement Learning via Decoupling Exploration and Utilization Jingpu Yang Helin Wang Qirui Zhao Zhecheng Shi Zirui Song Miao Fang 24 0 0 26 Dec 2023
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning Bram Grooten Tristan Tomilin Gautham Vasan Matthew E. Taylor A. R. Mahmood Meng Fang Mykola Pechenizkiy Decebal Constantin Mocanu 32 8 0 23 Dec 2023
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning Chenyu Sun Hangwei Qian Chunyan Miao OffRL 40 1 0 19 Dec 2023
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling Jakob J. Hollenstein Georg Martius J. Piater 22 3 0 18 Dec 2023
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis Yafei Hu Quanting Xie Vidhi Jain Jonathan M Francis Jay Patrikar ... Xiaolong Wang Sebastian A. Scherer Z. Kira Fei Xia Yonatan Bisk LM&Ro AI4CE 50 64 0 14 Dec 2023
Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms Manon Flageat Bryan Lim Antoine Cully OffRL 25 3 0 12 Dec 2023