Exploration via Hindsight Goal Generation

10 June 2019

Papers citing "Exploration via Hindsight Goal Generation"

20 / 20 papers shown

Title
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning Hongjoon Ahn Heewoong Choi Jisu Han Taesup Moon OffRL 17 0 0 19 May 2025
Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation Shaopeng Zhai Jie Wang Tianyi Zhang Fuxian Huang Qi Zhang Ming Zhou Jing Hou Yu Qiao Yu Liu LLMAG LM&Ro 37 1 0 12 Dec 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 41 7 0 30 Oct 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum Jigang Kim Daesol Cho H. J. Kim 22 3 0 17 May 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction Utsav Singh Vinay P. Namboodiri 31 3 0 07 Apr 2023
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning Simon Guist Jan Schneider-Barnes Alexander Dittrich V. Berenz Bernhard Schölkopf Le Chen 29 3 0 03 Mar 2023
Understanding the Complexity Gains of Single-Task RL with a Curriculum Qiyang Li Yuexiang Zhai Yi Ma Sergey Levine 37 14 0 24 Dec 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 41 24 0 18 Oct 2022
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments Jakob Thumm Matthias Althoff 58 34 0 12 May 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
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems Jiayu Chen Yuanxin Zhang Yuanfan Xu Huimin Ma Huazhong Yang Jiaming Song Yu Wang Yi Wu VLM DRL 26 32 0 08 Nov 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han Chongyi Zheng Harris Chan Keiran Paster Michael Ruogu Zhang Jimmy Ba OOD AI4CE 20 13 0 27 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 37 16 0 22 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 36 93 0 14 Sep 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 36 22 0 13 May 2021
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 24 81 0 20 Jun 2020
Hindsight Trust Region Policy Optimization Hanbo Zhang Site Bai Xuguang Lan David Hsu Nanning Zheng 35 8 0 29 Jul 2019