Title
panda-gym: Open-source goal-conditioned environments for robotic learning Quentin Gallouedec Nicolas Cazin Emmanuel Dellandrea Liming Chen OffRL 71 80 0 25 Jun 2021
Mix and Mask Actor-Critic Methods Dom Huh 29 1 0 24 Jun 2021
Imitation Learning: Progress, Taxonomies and Challenges Boyuan Zheng Sunny Verma Jianlong Zhou Ivor Tsang Fang Chen 171 89 0 23 Jun 2021
No-frills Dynamic Planning using Static Planners Mara Levy Vasista Ayyagari Abhinav Shrivastava 28 0 0 17 Jun 2021
Automatic Curricula via Expert Demonstrations Siyu Dai Andreas G. Hofmann B. Williams 65 6 0 16 Jun 2021
Unbiased Methods for Multi-Goal Reinforcement Learning Léonard Blier Yann Ollivier OffRL 37 6 0 16 Jun 2021
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path Liyu Chen Mehdi Jafarnia-Jahromi R. Jain Haipeng Luo 75 25 0 15 Jun 2021
DAIR: Disentangled Attention Intrinsic Regularization for Safe and Efficient Bimanual Manipulation Minghao Zhang Pingcheng Jian Yi Wu Huazhe Xu Xiaolong Wang 51 9 0 10 Jun 2021
Simplifying Deep Reinforcement Learning via Self-Supervision Daochen Zha Kwei-Herng Lai Kaixiong Zhou Helen Zhou SSL 94 15 0 10 Jun 2021
Reinforcement Learning for Industrial Control Network Cyber Security Orchestration John Mern Kyle Hatch Ryan Silva J. Brush Mykel J. Kochenderfer 51 4 0 09 Jun 2021
Self-Paced Context Evaluation for Contextual Reinforcement Learning Theresa Eimer André Biedenkapp Frank Hutter Marius Lindauer OffRL LRM 92 25 0 09 Jun 2021
Quickest change detection with unknown parameters: Constant complexity and near optimality Firas Jarboui Vianney Perchet 28 0 0 09 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville OffRL 113 118 0 09 Jun 2021
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps Chengguang Xu Chris Amato Lawson L. S. Wong 56 6 0 07 Jun 2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning Maximilian Seitzer Bernhard Schölkopf Georg Martius CML 109 78 0 07 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 68 12 0 06 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 184 688 0 03 Jun 2021
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 62 4 0 03 Jun 2021
Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield 42 3 0 02 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning Jongwook Choi Archit Sharma Honglak Lee Sergey Levine S. Gu DRL 67 21 0 02 Jun 2021
Deep Reinforcement Learning-based UAV Navigation and Control: A Soft Actor-Critic with Hindsight Experience Replay Approach Myoung-Hoon Lee Jun Moon 40 8 0 02 Jun 2021
High-Quality Diversification for Task-Oriented Dialogue Systems Zhiwen Tang Hrishikesh Kulkarni Grace Hui Yang 43 9 0 02 Jun 2021
Proving Equivalence Between Complex Expressions Using Graph-to-Sequence Neural Models Steven J Kommrusch Théo Barollet L. Pouchet 35 5 0 01 Jun 2021
What Can I Do Here? Learning New Skills by Imagining Visual Affordances Alexander Khazatsky Ashvin Nair Dan Jing Sergey Levine LM&Ro 84 33 0 01 Jun 2021
Shaped Policy Search for Evolutionary Strategies using Waypoints Kiran Lekkala Laurent Itti 32 1 0 30 May 2021
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture Chin-Jui Chang Yu-Wei Chu Chao-Hsien Ting Hao-Kang Liu Zhang-Wei Hong Chun-Yi Lee AI4CE 27 1 0 30 May 2021
Adversarial Intrinsic Motivation for Reinforcement Learning Ishan Durugkar Mauricio Tec S. Niekum Peter Stone OOD 127 41 0 27 May 2021
Optimistic Reinforcement Learning by Forward Kullback-Leibler Divergence Optimization Taisuke Kobayashi 70 14 0 27 May 2021
Towards Teachable Autotelic Agents Olivier Sigaud Ahmed Akakzia Hugo Caselles-Dupré Cédric Colas Pierre-Yves Oudeyer Mohamed Chetouani 83 7 0 25 May 2021
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness Mathieu Seurin Florian Strub Philippe Preux Olivier Pietquin 37 9 0 20 May 2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks Menghui Zhu Minghuan Liu Jian Shen Zhicheng Zhang Sheng Chen Weinan Zhang Deheng Ye Yong Yu Qiang Fu Wei Yang 114 22 0 13 May 2021
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet Xintong Yang Ze Ji Jing Wu Yu-kun Lai 58 15 0 12 May 2021
Efficient Self-Supervised Data Collection for Offline Robot Learning Shadi Endrawis Gal Leibovich Guy Jacob Gal Novik Aviv Tamar SSL OffRL 76 9 0 10 May 2021
Visual Foresight Trees for Object Retrieval from Clutter with Nonprehensile Rearrangement Baichuan Huang Shuai D. Han Jingjin Yu Abdeslam Boularias 115 53 0 06 May 2021
Robotic Surgery With Lean Reinforcement Learning Yotam Barnoy Molly O'Brien Wenjie Wang Gregory D. Hager OffRL 74 21 0 03 May 2021
Curious Exploration and Return-based Memory Restoration for Deep Reinforcement Learning Saeed Tafazzol Erfan Fathi Mahdi Rezaei Ehsan Asali 18 2 0 02 May 2021
Capability Iteration Network for Robot Path Planning Buqing Nie Yue Gao Yi Mei Feng Gao 3DV 39 7 0 29 Apr 2021
SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents Grgur Kovač Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer ALM LM&Ro 106 2 0 27 Apr 2021
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies Soroush Nasiriany Vitchyr H. Pong Ashvin Nair Alexander Khazatsky Glen Berseth Sergey Levine OffRL 119 15 0 23 Apr 2021
Outcome-Driven Reinforcement Learning via Variational Inference Tim G. J. Rudner Vitchyr H. Pong R. McAllister Y. Gal Sergey Levine 100 21 0 20 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 141 280 0 16 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn Sergey Levine SSL OffRL 83 153 0 15 Apr 2021
GridToPix: Training Embodied Agents with Minimal Supervision Unnat Jain Iou-Jen Liu Svetlana Lazebnik Aniruddha Kembhavi Luca Weihs Alex Schwing 114 23 0 14 Apr 2021
TAAC: Temporally Abstract Actor-Critic for Continuous Control Haonan Yu Wei Xu Haichao Zhang OffRL 56 21 0 13 Apr 2021
Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement Learning Takato Okudo Seiji Yamada OffRL 42 21 0 13 Apr 2021
Two-stage training algorithm for AI robot soccer Taeyoung Kim L. Vecchietti Kyujin Choi Sanem Sariel Dongsoo Har 120 7 0 13 Apr 2021
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning Jinxin Liu Donglin Wang Qiangxing Tian Zhengyu Chen 92 23 0 11 Apr 2021
Attribute-Based Robotic Grasping with One-Grasp Adaptation Yang Yang Yuanhao Liu Hengyue Liang Xibai Lou Changhyun Choi 68 18 0 06 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 77 132 0 01 Apr 2021
Touch-based Curiosity for Sparse-Reward Tasks Sai Rajeswar Cyril Ibrahim Nitin Surya Florian Golemo David Vazquez Rameswar Panda Pedro H. O. Pinheiro 61 6 0 01 Apr 2021