Title
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution Jie Wang Rui Yang Zijie Geng Zhihao Shi Mingxuan Ye Qi Zhou Shuiwang Ji Bin Li Yongdong Zhang Feng Wu 92 6 0 19 Feb 2023
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer Hannes Eriksson D. Basu Tommy Tram Mina Alibeigi Christos Dimitrakakis 57 1 0 18 Feb 2023
Imitation from Observation With Bootstrapped Contrastive Learning M. Sonwa Johanna Hansen Eugene Belilovsky OffRL 62 0 0 13 Feb 2023
Policy-Induced Self-Supervision Improves Representation Finetuning in Visual RL Sébastien M. R. Arnold Fei Sha SSL 57 0 0 12 Feb 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions Qiyuan Liu Qi Zhou Rui Yang Jie Wang OffRL OOD 525 15 0 12 Feb 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 136 10 0 11 Feb 2023
Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL P. Becker Sebastian Mossburger Fabian Otto Gerhard Neumann SSL 94 2 0 10 Feb 2023
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization Zichuan Lin Xiapeng Wu Mingfei Sun Deheng Ye Qiang Fu Wei Yang Wei Liu 113 3 0 05 Feb 2023
Mind the Gap: Offline Policy Optimization for Imperfect Rewards Jianxiong Li Xiao Hu Haoran Xu Jingjing Liu Xianyuan Zhan Qing-Shan Jia Ya Zhang OffRL 83 20 0 03 Feb 2023
Visual Imitation Learning with Patch Rewards Minghuan Liu Tairan He Weinan Zhang Shuicheng Yan Zhongwen Xu SSL 106 14 0 02 Feb 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series Yesom Park Jaemoo Choi Changyeon Yoon Changhoon Song Myung-joo Kang AI4TS AI4CE 50 3 0 02 Feb 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 69 1 0 31 Jan 2023
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning Reimi Sato Kazuto Fukuchi Jun Sakuma Youhei Akimoto OffRL 55 0 0 31 Jan 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 71 5 0 29 Jan 2023
Reinforcement Learning from Diverse Human Preferences Wanqi Xue Bo An Shuicheng Yan Zhongwen Xu 81 26 0 27 Jan 2023
Improving Behavioural Cloning with Positive Unlabeled Learning Qiang-qiang Wang Robert McCarthy David Córdova Bulens Kevin McGuinness Noel E. O'Connor Nico Gürtler Felix Widmaier Francisco Roldan Sanchez S. Redmond OffRL OnRL 94 8 0 27 Jan 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 95 10 0 26 Jan 2023
SMART: Self-supervised Multi-task pretrAining with contRol Transformers Yanchao Sun Shuang Ma Ratnesh Madaan Rogerio Bonatti Furong Huang Ashish Kapoor 102 42 0 24 Jan 2023
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction Shaofei Cai Zihao Wang Xiaojian Ma Hoang Trung-Dung Yitao Liang 130 42 0 21 Jan 2023
Learnable Path in Neural Controlled Differential Equations Sheo Yon Jhin Minju Jo Seung-Uk Kook Noseong Park Sungpil Woo Sunhwan Lim 67 6 0 11 Jan 2023
Mastering Diverse Domains through World Models Danijar Hafner J. Pašukonis Jimmy Ba Timothy Lillicrap 121 617 0 10 Jan 2023
Extreme Q-Learning: MaxEnt RL without Entropy Divyansh Garg Joey Hejna Matthieu Geist Stefano Ermon OffRL 96 80 0 05 Jan 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski A. Lazaric Alahari Karteek OffRL 139 19 0 05 Jan 2023
On Transforming Reinforcement Learning by Transformer: The Development Trajectory Shengchao Hu Li Shen Ya Zhang Yixin Chen Dacheng Tao OffRL 148 30 0 29 Dec 2022
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities Jianda Chen Sinno Jialin Pan SSL 61 6 0 26 Dec 2022
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning Zhecheng Yuan Zhengrong Xue Bo Yuan Xueqian Wang Yi Wu Yang Gao Huazhe Xu SSL OffRL 120 74 0 17 Dec 2022
Latent Variable Representation for Reinforcement Learning Zhaolin Ren Chenjun Xiao Tianjun Zhang Na Li Zhaoran Wang Sujay Sanghavi Dale Schuurmans Bo Dai OffRL 106 10 0 17 Dec 2022
Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies Shivakanth Sujit Pedro H. M. Braga J. Bornschein Samira Ebrahimi Kahou OffRL 76 1 0 15 Dec 2022
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline Nicklas Hansen Zhecheng Yuan Yanjie Ze Tongzhou Mu Aravind Rajeswaran H. Su Huazhe Xu Xiaolong Wang 102 66 0 12 Dec 2022
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning Zhao Mandi Homanga Bharadhwaj Vincent Moens Shuran Song Aravind Rajeswaran Vikash Kumar LM&Ro 126 77 0 12 Dec 2022
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations Nicklas Hansen Yixin Lin H. Su Xiaolong Wang Vikash Kumar Aravind Rajeswaran OffRL 81 51 0 12 Dec 2022
Curiosity creates Diversity in Policy Search Paul-Antoine Le Tolguenec Emmanuel Rachelson Yann Besse Dennis G. Wilson 80 2 0 07 Dec 2022
Dynamic Decision Frequency with Continuous Options Amir-Hossein Karimi Jun Jin Jun Luo A. R. Mahmood Martin Jägersand Samuele Tosatto 104 10 0 06 Dec 2022
Funnel-based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learning Naman Saxena Sandeep Gorantla Pushpak Jagtap 102 4 0 30 Nov 2022
Tackling Visual Control via Multi-View Exploration Maximization Mingqi Yuan Xin Jin Bo Li Wenjun Zeng 67 1 0 28 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 125 25 0 23 Nov 2022
Masked Autoencoding for Scalable and Generalizable Decision Making Fangchen Liu Hao Liu Aditya Grover Pieter Abbeel OffRL 89 49 0 23 Nov 2022
Model Based Residual Policy Learning with Applications to Antenna Control Viktor Eriksson Mollerstedt Alessio Russo Maxime Bouton OffRL 77 3 0 16 Nov 2022
Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning Katherine Metcalf Miguel Sarabia B. Theobald OffRL 91 5 0 12 Nov 2022
The Expertise Problem: Learning from Specialized Feedback Oliver Daniels-Koch Rachel Freedman OffRL 70 18 0 12 Nov 2022
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy Mehrnaz Sabet Praveen Palanisamy Sakshi Mishra 88 4 0 10 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 87 23 0 08 Nov 2022
Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network Yao Feng Yuhong Jiang Hang Su Dong Yan Jun Zhu 103 1 0 02 Nov 2022
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information Riashat Islam Manan Tomar Alex Lamb Yonathan Efroni Hongyu Zang ... Dipendra Kumar Misra Xin-hui Li H. V. Seijen Rémi Tachet des Combes John Langford OffRL 67 7 0 31 Oct 2022
Disentangled (Un)Controllable Features Jacob E. Kooi Mark Hoogendoorn Vincent François-Lavet DRL 60 0 0 31 Oct 2022
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing Jiawei Fu Yunlong Song Yongpeng Wu Feng Yu Davide Scaramuzza 122 21 0 26 Oct 2022
ERL-Re $^2$ : Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation Jianye Hao Pengyi Li Hongyao Tang Yan Zheng Xian Fu Zhaopeng Meng 94 26 0 26 Oct 2022
Evaluating Long-Term Memory in 3D Mazes J. Pašukonis Timothy Lillicrap Danijar Hafner 3DV 88 23 0 24 Oct 2022
On Many-Actions Policy Gradient Michal Nauman Marek Cygan 81 0 0 24 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 73 9 0 21 Oct 2022