Title
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control Yanfei Xiang Xin Wang Shu Hu Bin Zhu Xiaomeng Huang Xi Wu Siwei Lyu SSL 106 5 0 20 Oct 2022
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning Henrique Donancio L. Vercouter H. Roclawski AI4CE 104 1 0 20 Oct 2022
Planning for Sample Efficient Imitation Learning Zhao-Heng Yin Weirui Ye Qifeng Chen Yang Gao OffRL 93 21 0 18 Oct 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 77 9 0 17 Oct 2022
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning Vindula Jayawardana Catherine Tang Sirui Li Da Suo Cathy Wu OffRL 108 13 0 16 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale Kuang-Huei Lee Ted Xiao A. Li Paul Wohlhart Ian S. Fischer Yao Lu 120 10 0 15 Oct 2022
Policy Gradient With Serial Markov Chain Reasoning Edoardo Cetin Oya Celiktutan BDL LRM 63 2 0 13 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao Matthieu Lin Yangguang Li Yang Liu Gao Huang 73 13 0 13 Oct 2022
Reinforcement Learning with Automated Auxiliary Loss Search Tairan He Yuge Zhang Kan Ren Minghuan Liu Che Wang Weinan Zhang Yuqing Yang Dongsheng Li 117 16 0 12 Oct 2022
Continuous Monte Carlo Graph Search Kalle Kujanpää Amin Babadi Yi Zhao Arno Solin Alexander Ilin Joni Pajarinen LRM 403 2 0 04 Oct 2022
Latent State Marginalization as a Low-cost Approach for Improving Exploration Dinghuai Zhang Aaron Courville Yoshua Bengio Qinqing Zheng Amy Zhang Ricky T. Q. Chen OOD 103 10 0 03 Oct 2022
Saving the Limping: Fault-tolerant Quadruped Locomotion via Reinforcement Learning Dikai Liu Tianwei Zhang Jianxiong Yin Simon See 161 6 0 02 Oct 2022
Does Zero-Shot Reinforcement Learning Exist? Ahmed Touati Jérémy Rapin Yann Ollivier OffRL 118 46 0 29 Sep 2022
Biological connectomes as a representation for the architecture of artificial neural networks Samuel Schmidgall Catherine D. Schuman Maryam Parsa 75 2 0 28 Sep 2022
MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning Junfeng Chen Fuqin Deng Yuan Gao Junjie Hu Xiyue Guo Guanqi Liang Tin Lun Lam 71 7 0 28 Sep 2022
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels Sai Rajeswar Pietro Mazzaglia Tim Verbelen Alexandre Piché Bart Dhoedt Rameswar Panda Alexandre Lacoste SSL 104 21 0 24 Sep 2022
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning Mohammadhosein Hasanbeig Daniel Kroening Alessandro Abate 98 15 0 21 Sep 2022
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent W. Z. E. Amri L. Hermes M. Schilling 46 2 0 21 Sep 2022
Meta-simulation for the Automated Design of Synthetic Overhead Imagery Handi Yu Simiao Ren L. Collins Jordan M. Malof 147 1 0 19 Sep 2022
Using Forwards-Backwards Models to Approximate MDP Homomorphisms Augustine N. Mavor-Parker Matthew J. Sargent Christian Pehle Andrea Banino Lewis D. Griffin Caswell Barry 75 1 0 14 Sep 2022
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning Bang You Jingming Xie Youping Chen Jan Peters Oleg Arenz 50 2 0 12 Sep 2022
Style-Agnostic Reinforcement Learning Juyong Lee Seokjun Ahn Jaesik Park 44 4 0 31 Aug 2022
Light-weight probing of unsupervised representations for Reinforcement Learning Wancong Zhang Anthony GX-Chen Vlad Sobal Yann LeCun Nicolas Carion SSL OffRL 87 14 0 25 Aug 2022
Prioritizing Samples in Reinforcement Learning with Reducible Loss Shivakanth Sujit Somjit Nath Pedro H. M. Braga Samira Ebrahimi Kahou 99 16 0 22 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning Zhaolin Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 100 29 0 19 Aug 2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter Aleksandar Stanić Yujin Tang David R Ha Jürgen Schmidhuber ELM 103 13 0 05 Aug 2022
Implicit Two-Tower Policies Yunfan Zhao Qingkai Pan K. Choromanski Deepali Jain Vikas Sindhwani OffRL 131 3 0 02 Aug 2022
RobotIO: A Python Library for Robot Manipulation Experiments Lukás Hermann Max Argus Adrian Roefer Abhinav Valada Thomas Brox 111 1 0 27 Jul 2022
Semi-analytical Industrial Cooling System Model for Reinforcement Learning Yuri Chervonyi Praneet Dutta Piotr Trochim Octavian Voicu Cosmin Paduraru ... Jared Quincy Davis R. Chippendale Gautam Bajaj Sims Witherspoon Jerry Luo AI4CE 86 12 0 26 Jul 2022
Minimum Description Length Control Theodore H. Moskovitz Ta-Chu Kao M. Sahani M. Botvinick 80 1 0 17 Jul 2022
Skill-based Model-based Reinforcement Learning Lu Shi Joseph J. Lim Youngwoon Lee 115 46 0 15 Jul 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Zhaolin Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 74 44 0 14 Jul 2022
GriddlyJS: A Web IDE for Reinforcement Learning C. Bamford Minqi Jiang Mikayel Samvelyan Tim Rocktaschel OnRL 111 5 0 13 Jul 2022
Learning Bellman Complete Representations for Offline Policy Evaluation Jonathan D. Chang Kaiwen Wang Nathan Kallus Wen Sun OffRL 75 16 0 12 Jul 2022
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning Jan Achterhold Markus Krimmel Joerg Stueckler 119 10 0 11 Jul 2022
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang Jianhong Wang Joschka Boedecker 127 3 0 05 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 118 38 0 03 Jul 2022
Watch and Match: Supercharging Imitation with Regularized Optimal Transport Siddhant Haldar Vaibhav Mathur Denis Yarats Lerrel Pinto 122 67 0 30 Jun 2022
Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study Ameya Pore M. Finocchiaro Diego DallÁlba A. Hernansanz G. Ciuti A. Arezzo A. Menciassi A. Casals Paolo Fiorini 85 15 0 30 Jun 2022
Visual Foresight With a Local Dynamics Model Colin Kohler Robert Platt 62 1 0 29 Jun 2022
Guided Exploration in Reinforcement Learning via Monte Carlo Critic Optimization Igor Kuznetsov 89 2 0 25 Jun 2022
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning Yang Yue Bingyi Kang Zhongwen Xu Gao Huang Shuicheng Yan OffRL 99 13 0 25 Jun 2022
CGAR: Critic Guided Action Redistribution in Reinforcement Leaning Tairan Huang Xu Li Haoyuan Li Mingming Sun P. Li 38 0 0 23 Jun 2022
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht 71 4 0 22 Jun 2022
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer Yao Mu Shoufa Chen Mingyu Ding Jianyu Chen Runjian Chen Ping Luo ViT 82 9 0 17 Jun 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge Linxi Fan Guanzhi Wang Yunfan Jiang Ajay Mandlekar Yuncong Yang Haoyi Zhu Andrew Tang De-An Huang Yuke Zhu Anima Anandkumar LM&Ro 165 388 0 17 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 113 33 0 10 Jun 2022
Overcoming the Spectral Bias of Neural Value Approximation Ge Yang Anurag Ajay Pulkit Agrawal 105 26 0 09 Jun 2022
Deep Hierarchical Planning from Pixels Danijar Hafner Kuang-Huei Lee Ian S. Fischer Pieter Abbeel 83 95 0 08 Jun 2022
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance Jakob J. Hollenstein Sayantan Auddy Matteo Saveriano Erwan Renaudo J. Piater 91 21 0 08 Jun 2022