Title
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings Kevin Frans Seohong Park Pieter Abbeel Sergey Levine OffRL 111 13 0 27 Feb 2024
Foundation Policies with Hilbert Representations Seohong Park Tobias Kreiman Sergey Levine SSL OffRL 112 30 0 23 Feb 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data YongKyung Oh Dongyoung Lim Sungil Kim AI4TS 164 17 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 125 12 0 22 Feb 2024
Enhancing Reinforcement Learning Agents with Local Guides Paul Daoudi Bogdan Robu Christophe Prieur Ludovic Dos Santos M. Barlier OnRL 88 3 0 21 Feb 2024
Revisiting Data Augmentation in Deep Reinforcement Learning Jianshu Hu Yunpeng Jiang Paul Weng OffRL 94 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 56 11 0 15 Feb 2024
Task-conditioned adaptation of visual features in multi-task policy learning Pierre Marza L. Matignon Olivier Simonin Christian Wolf 99 3 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 116 54 0 08 Feb 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Yufei Wang Zackory M. Erickson David Held 141 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 86 0 0 06 Feb 2024
Transductive Reward Inference on Graph B. Qu Xiaofeng Cao Qing Guo Yi Chang Ivor W. Tsang Chengqi Zhang OffRL 109 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 56 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 123 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 130 13 0 22 Jan 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 196 130 0 17 Jan 2024
Crowd-PrefRL: Preference-Based Reward Learning from Crowds David Chhan Ellen R. Novoseller Vernon J. Lawhern 163 5 0 17 Jan 2024
Personalized Reinforcement Learning with a Budget of Policies Dmitry Ivanov Omer Ben-Porat OffRL 23 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 132 112 0 08 Jan 2024
Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges Xiaoqian Liu Jianbin Jiao Junge Zhang OffRL LRM 107 2 0 29 Dec 2023
Gradient-based Planning with World Models V. JyothirS Siddhartha Jalagam Yann LeCun Vlad Sobal 80 4 0 28 Dec 2023
Generalizable Visual Reinforcement Learning with Segment Anything Model Ziyu Wang Yanjie Ze Yifei Sun Zhecheng Yuan Huazhe Xu VLM 87 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 52 20 0 27 Dec 2023
Efficient Reinforcement Learning via Decoupling Exploration and Utilization Jingpu Yang Helin Wang Qirui Zhao Zhecheng Shi Zirui Song Miao Fang 112 1 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 88 10 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 99 1 0 19 Dec 2023
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling Jakob J. Hollenstein Georg Martius J. Piater 125 6 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 138 75 0 14 Dec 2023
Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms Manon Flageat Bryan Lim Antoine Cully OffRL 77 3 0 12 Dec 2023
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning Pathmanathan Pankayaraj Natalia Díaz Rodríguez Javier Del Ser CLL OffRL 154 0 0 05 Dec 2023
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks Stephanie Milani Anssi Kanervisto Karolis Ramanauskas Sander Schulhoff Brandon Houghton Rohin Shah 80 7 0 05 Dec 2023
Regularity as Intrinsic Reward for Free Play Cansu Sancaktar J. Piater Georg Martius 75 2 0 03 Dec 2023
Harnessing Discrete Representations For Continual Reinforcement Learning Edan Meyer Adam White Marlos C. Machado OffRL 76 5 0 02 Dec 2023
An Investigation of Time Reversal Symmetry in Reinforcement Learning Brett Barkley Amy Zhang David Fridovich-Keil 45 1 0 28 Nov 2023
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning Hongming Zhang Zhaolin Ren Chenjun Xiao Dale Schuurmans Bo Dai 104 4 0 20 Nov 2023
Augmenting Unsupervised Reinforcement Learning with Self-Reference Andrew Zhao Erle Zhu Rui Lu Matthieu Lin Yong-Jin Liu Gao Huang SSL 87 1 0 16 Nov 2023
Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning Junmin Zhong Ruofan Wu Jennie Si OffRL 54 1 0 07 Nov 2023
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer Jun Yamada Marc Rigter Jack Collins Ingmar Posner 69 5 0 07 Nov 2023
Towards model-free RL algorithms that scale well with unstructured data Joseph Modayil Zaheer Abbas OffRL 65 3 0 03 Nov 2023
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing Vint Lee Pieter Abbeel Youngwoon Lee 73 6 0 02 Nov 2023
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents Woojun Kim Yongjae Shin Jongeui Park Young-Jin Sung OnRL 75 8 0 31 Oct 2023
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization Guowei Xu Ruijie Zheng Yongyuan Liang Xiyao Wang Zhecheng Yuan ... Shuzhen Li Yanjie Ze Hal Daumé Furong Huang Huazhe Xu 136 31 0 30 Oct 2023
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 121 4 0 30 Oct 2023
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity Jaedong Hwang Zhang-Wei Hong Eric Chen Akhilan Boopathy Pulkit Agrawal Ila Fiete CLL 80 5 0 26 Oct 2023
Towards Control-Centric Representations in Reinforcement Learning from Images Chen Liu Hongyu Zang Xin Li Yong Heng Yifei Wang Zhen Fang Yisen Wang Mingzhong Wang 57 0 0 25 Oct 2023
Mind the Model, Not the Agent: The Primacy Bias in Model-based RL Zhongjian Qiao Jiafei Lyu Xiu Li 70 3 0 23 Oct 2023
Robust Visual Imitation Learning with Inverse Dynamics Representations Siyuan Li Xun Wang Rongchang Zuo Kewu Sun Lingfei Cui Jishiyu Ding Peng Liu Zhe Ma 70 4 0 22 Oct 2023
RL-X: A Deep Reinforcement Learning Library (not only) for RoboCup Nico Bohlinger Klaus Dorer 81 4 0 20 Oct 2023
Using Experience Classification for Training Non-Markovian Tasks Ruixuan Miao Xu Lu Cong Tian Bin Yu Zhenhua Duan OffRL 56 0 0 18 Oct 2023
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control Chao Li Chen Gong Qiang He Xinwen Hou 73 1 0 17 Oct 2023