Title
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning Pathmanathan Pankayaraj Natalia Díaz Rodríguez Javier Del Ser CLL OffRL 38 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 23 7 0 05 Dec 2023
Regularity as Intrinsic Reward for Free Play Cansu Sancaktar J. Piater Georg Martius 45 2 0 03 Dec 2023
Harnessing Discrete Representations For Continual Reinforcement Learning Edan Meyer Adam White Marlos C. Machado OffRL 41 4 0 02 Dec 2023
An Investigation of Time Reversal Symmetry in Reinforcement Learning Brett Barkley Amy Zhang David Fridovich-Keil 21 0 0 28 Nov 2023
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning Hongming Zhang Tongzheng Ren Chenjun Xiao Dale Schuurmans Bo Dai 45 3 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 34 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 18 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 33 5 0 07 Nov 2023
Towards model-free RL algorithms that scale well with unstructured data Joseph Modayil Zaheer Abbas OffRL 20 3 0 03 Nov 2023
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing Vint Lee Pieter Abbeel Youngwoon Lee 27 5 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 22 6 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 46 28 0 30 Oct 2023
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 35 1 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 46 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 25 0 0 25 Oct 2023
Mind the Model, Not the Agent: The Primacy Bias in Model-based RL Zhongjian Qiao Jiafei Lyu Xiu Li 24 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 26 3 0 22 Oct 2023
RL-X: A Deep Reinforcement Learning Library (not only) for RoboCup Nico Bohlinger Klaus Dorer 27 4 0 20 Oct 2023
Using Experience Classification for Training Non-Markovian Tasks Ruixuan Miao Xu Lu Cong Tian Bin Yu Zhenhua Duan OffRL 28 0 0 18 Oct 2023
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control Chao Li Chen Gong Qiang He Xinwen Hou 33 0 0 17 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
PolyTask: Learning Unified Policies through Behavior Distillation Siddhant Haldar Lerrel Pinto 28 7 0 12 Oct 2023
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages Guozheng Ma Lu Li Sen Zhang Zixuan Liu Zhen Wang Yixin Chen Li Shen Xueqian Wang Dacheng Tao OffRL 45 16 0 11 Oct 2023
RoboHive: A Unified Framework for Robot Learning Vikash Kumar Rutav Shah Gaoyue Zhou Vincent Moens Vittorio Caggiano Jay Vakil Abhishek Gupta Aravind Rajeswaran 22 22 0 10 Oct 2023
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning Ran Wei Nathan Lambert Anthony D. McDonald Alfredo Garcia Roberto Calandra 33 7 0 10 Oct 2023
Learning Interactive Real-World Simulators Mengjiao Yang Yilun Du Kamyar Ghasemipour Jonathan Tompson Leslie Kaelbling Dale Schuurmans Pieter Abbeel LM&Ro PINN 30 183 0 09 Oct 2023
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning Trevor A. McInroe Adam Jelley Stefano V. Albrecht Amos Storkey OffRL OnRL 28 6 0 09 Oct 2023
Multi-timestep models for Model-based Reinforcement Learning Abdelhakim Benechehab Giuseppe Paolo Albert Thomas Maurizio Filippone Balázs Kégl OffRL 31 0 0 09 Oct 2023
Learning Generalizable Agents via Saliency-Guided Features Decorrelation Sili Huang Yanchao Sun Jifeng Hu Siyuan Guo Hechang Chen Yi-Ju Chang Lichao Sun Bo Yang 26 5 0 08 Oct 2023
Offline Imitation Learning with Variational Counterfactual Reasoning Bowei He Zexu Sun Jinxin Liu Shuai Zhang Xu Chen Chen Ma OffRL 31 9 0 07 Oct 2023
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 41 4 0 05 Oct 2023
Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning Lev Grossman Brian Plancher OffRL 17 0 0 03 Oct 2023
Blending Imitation and Reinforcement Learning for Robust Policy Improvement Xuefeng Liu Takuma Yoneda Rick L. Stevens Matthew R. Walter Yuxin Chen 44 10 0 03 Oct 2023
Controlling Neural Style Transfer with Deep Reinforcement Learning Chengming Feng Jing Hu Xin Wang Shu Hu Bin Zhu Xi Wu Hongtu Zhu Siwei Lyu 21 3 0 30 Sep 2023
HarmonyDream: Task Harmonization Inside World Models Haoyu Ma Jialong Wu Ningya Feng Chenjun Xiao Dong Li Jianye Hao Jianmin Wang Mingsheng Long 41 7 0 30 Sep 2023
Adversarial Imitation Learning from Visual Observations using Latent Information Vittorio Giammarino Tomas Landelius I. Paschalidis 9 6 0 29 Sep 2023
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery Xin Liu Yaran Chen Dong Zhao 38 0 0 29 Sep 2023
RLLTE: Long-Term Evolution Project of Reinforcement Learning Tao Lv Zequn Zhang Yang Xu Shihao Luo Bo Li Xin Jin Wenjun Zeng OffRL 37 1 0 28 Sep 2023
Task-Oriented Koopman-Based Control with Contrastive Encoder Xubo Lyu Hanyang Hu Seth Siriya Ye Pu Mo Chen 31 5 0 28 Sep 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 38 1 0 26 Sep 2023
Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control Nate Rahn P. DÓro Harley Wiltzer Pierre-Luc Bacon Marc G. Bellemare 27 3 0 26 Sep 2023
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning L. Govindarajan Rex G Liu Drew Linsley A. Ashok Max Reuter M. Frank Thomas Serre OffRL 21 0 0 22 Sep 2023
Sequential Action-Induced Invariant Representation for Reinforcement Learning Dayang Liang Qihang Chen Yunlong Liu 29 4 0 22 Sep 2023
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control Botian Xu Feng Gao Chao Yu Chao Yu Yi Wu Yu Wang 36 28 0 22 Sep 2023
Efficient RL via Disentangled Environment and Agent Representations Kevin Gmelin Shikhar Bahl Russell Mendonca Deepak Pathak DRL 35 8 0 05 Sep 2023
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems C. Banerjee Kien Nguyen Clinton Fookes M. Raissi PINN AI4CE 28 9 0 05 Sep 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 46 13 0 31 Aug 2023
Policy composition in reinforcement learning via multi-objective policy optimization Shruti Mishra Ankit Anand Jordan Hoffmann N. Heess Martin Riedmiller A. Abdolmaleki Doina Precup 30 0 0 29 Aug 2023
$${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning$ ${\rm E}(3)$ -Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning Dingyang Chen Qi Zhang 41 2 0 23 Aug 2023