Title
Efficiently Learning Small Policies for Locomotion and Manipulation Shashank Hegde Gaurav Sukhatme 29 3 0 30 Sep 2022
Towards advanced robotic manipulation Francisco Roldan Sanchez Stephen J. Redmond Kevin McGuinness Noel E. O'Connor 30 1 0 19 Sep 2022
Goal-Conditioned Q-Learning as Knowledge Distillation Alexander Levine S. Feizi OffRL 22 2 0 28 Aug 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks David M. Klee Ondrej Biza Robert W. Platt OffRL 27 1 0 22 Jul 2022
USHER: Unbiased Sampling for Hindsight Experience Replay Liam Schramm Yunfu Deng Edgar Granados Abdeslam Boularias 11 4 0 03 Jul 2022
Watch and Match: Supercharging Imitation with Regularized Optimal Transport Siddhant Haldar Vaibhav Mathur Denis Yarats Lerrel Pinto 54 62 0 30 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 37 140 0 15 Jun 2022
Diverse Imitation Learning via Self-Organizing Generative Models Arash Vahabpour Tianyi Wang Qiujing Lu Omead Brandon Pooladzandi V. Roychowdhury SSL 26 1 0 06 May 2022
Learning Purely Tactile In-Hand Manipulation with a Torque-Controlled Hand Leon Sievers Johannes Pitz Berthold Bäuml 24 38 0 07 Apr 2022
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL Rui Yang Yiming Lu Wenzhe Li Hao Sun Meng Fang Yali Du Xiu Li Lei Han Chongjie Zhang OffRL 46 66 0 09 Feb 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei-ping Xu Haonan Yu 38 10 0 24 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 35 132 0 20 Jan 2022
Bayesian Optimization of Function Networks Raul Astudillo P. Frazier 32 36 0 31 Dec 2021
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning Wenlong Huang Igor Mordatch Pieter Abbeel Deepak Pathak 43 63 0 04 Nov 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment Tung M. Luu Chang D. Yoo 23 8 0 28 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning Kibeom Kim Min Whoo Lee Yoonsung Kim Je-hwan Ryu Minsu Lee Byoung-Tak Zhang 24 8 0 25 Oct 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents Sam Powers Eliot Xing Eric Kolve Roozbeh Mottaghi Abhinav Gupta OffRL 36 38 0 19 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks Robert McCarthy Qiang Wang S. Redmond OffRL 27 15 0 05 Oct 2021
Solving the Real Robot Challenge using Deep Reinforcement Learning Robert McCarthy Francisco Roldan Sanchez Qiang Wang David Córdova Bulens Kevin McGuinness Noel E. O'Connor S. Redmond 27 11 0 30 Sep 2021
Learning Visual Feedback Control for Dynamic Cloth Folding Julius Hietala David Blanco Mulero G. Alcan Ville Kyrki 37 27 0 10 Sep 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 59 0 20 Aug 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks Sungryull Sohn Sungtae Lee Jongwook Choi H. V. Seijen Mehdi Fatemi Honglak Lee 161 3 0 13 Jul 2021
Learning One Representation to Optimize All Rewards Ahmed Touati Yann Ollivier OffRL 21 60 0 14 Mar 2021
Discovery of Options via Meta-Learned Subgoals Vivek Veeriah Tom Zahavy Matteo Hessel Zhongwen Xu Junhyuk Oh Iurii Kemaev H. V. Hasselt David Silver Satinder Singh 29 33 0 12 Feb 2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks Luca Marzari Ameya Pore Diego DallÁlba G. Aragon-Camarasa Alessandro Farinelli Paolo Fiorini 38 28 0 08 Feb 2021
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks Pierre Aumjaud David McAuliffe Francisco J. Rodríguez-Lera P. Cardiff 19 15 0 11 Nov 2020
Model-based Reinforcement Learning from Signal Temporal Logic Specifications Parv Kapoor Anand Balakrishnan Jyotirmoy V. Deshmukh 21 22 0 10 Nov 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 26 85 0 06 Jul 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 35 103 0 17 Jun 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 24 13 0 21 May 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 350 0 27 Apr 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 67 772 0 19 Mar 2020
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality Silviu Pitis Harris Chan Kiarash Jamali Jimmy Ba 8 24 0 14 Feb 2020
Accelerating Reinforcement Learning with Suboptimal Guidance Eivind Bøhn Signe Moe T. Johansen OnRL 21 0 0 21 Nov 2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots Michael Ahn Henry Zhu Kristian Hartikainen Hugo Ponte Abhishek Gupta Sergey Levine Vikash Kumar 32 126 0 25 Sep 2019
Hindsight Trust Region Policy Optimization Hanbo Zhang Site Bai Xuguang Lan David Hsu Nanning Zheng 38 8 0 29 Jul 2019
Learning Powerful Policies by Using Consistent Dynamics Model Shagun Sodhani Anirudh Goyal T. Deleu Yoshua Bengio Sergey Levine Jian Tang OffRL 19 5 0 11 Jun 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 35 85 0 10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay John Lanier Stephen Marcus McAleer Pierre Baldi OffRL 10 25 0 09 Jun 2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning D. Korenkevych A. R. Mahmood Gautham Vasan James Bergstra 19 28 0 27 Mar 2019
Open-Sourced Reinforcement Learning Environments for Surgical Robotics Florian Richter Ryan K. Orosco Michael C. Yip OffRL 27 79 0 05 Mar 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms Justin Fu Aviral Kumar Matthew Soh Sergey Levine OffRL 19 141 0 26 Feb 2019
The StarCraft Multi-Agent Challenge Mikayel Samvelyan Tabish Rashid Christian Schroeder de Witt Gregory Farquhar Nantas Nardelli Tim G. J. Rudner Chia-Man Hung Philip Torr Jakob N. Foerster Shimon Whiteson 47 932 0 11 Feb 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 35 26 0 28 Jan 2019
Complementary reinforcement learning towards explainable agents J. H. Lee 16 12 0 01 Jan 2019
Meta-Learning for Multi-objective Reinforcement Learning Xi Chen Ali Ghadirzadeh Mårten Björkman Pablo G. Cámara OffRL 21 54 0 08 Nov 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Cédric Colas Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer 33 39 0 15 Oct 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 19 74 0 02 Oct 2018
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning Antonin Raffin Ashley Hill Kalifou René Traoré Timothée Lesort Natalia Díaz Rodríguez David Filliat OffRL 8 35 0 25 Sep 2018
Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator Hai V. Nguyen Hung M. La M. Deans SSL OffRL 9 8 0 16 Sep 2018