Automatic Goal Generation for Reinforcement Learning Agents

17 May 2017

Pieter Abbeel

Papers citing "Automatic Goal Generation for Reinforcement Learning Agents"

50 / 296 papers shown

Title
Cross-Episodic Curriculum for Transformer Agents Lucy Xiaoyang Shi Yunfan Jiang Jake Grigsby Linxi "Jim" Fan Yuke Zhu 22 4 0 12 Oct 2023
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments Xiong-Hui Chen Junyin Ye Hang Zhao Yi-Chen Li Haoran Shi ... Si-Hang Yang Anqi Huang Kai Xu Zongzhang Zhang Yang Yu 22 0 0 09 Oct 2023
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning Jiayu Chen Zelai Xu Yunfei Li Chao Yu Jiaming Song Huazhong Yang Fei Fang Yu Wang Yi Wu 29 4 0 07 Oct 2023
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning Mingde Zhao Safa Alver H. V. Seijen Romain Laroche Doina Precup Yoshua Bengio 15 3 0 30 Sep 2023
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula Haoyi Niu Yi Tian Xu Xingjian Jiang Jianming Hu 33 3 0 25 Sep 2023
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen 41 3 0 25 Sep 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models Yao Fu Run Peng Honglak Lee 17 1 0 25 Aug 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning Andrew Levy Sreehari Rammohan A. Allievi S. Niekum George Konidaris 28 5 0 06 Jul 2023
Reward-Free Curricula for Training Robust World Models Marc Rigter Minqi Jiang Ingmar Posner VLM OffRL 31 6 0 15 Jun 2023
Curricular Subgoals for Inverse Reinforcement Learning Shunyu Liu Yunpeng Qing Shuqi Xu Hongyan Wu Jiangtao Zhang Jingyuan Cong Tianhao Chen Yunfu Liu Mingli Song 21 0 0 14 Jun 2023
Self-Paced Absolute Learning Progress as a Regularized Approach to Curriculum Learning Tobias Niehues Ulla Scheler Pascal Klink 24 0 0 09 Jun 2023
OMNI: Open-endedness via Models of human Notions of Interestingness Jenny Zhang Joel Lehman Kenneth O. Stanley Jeff Clune LRM 18 28 0 02 Jun 2023
Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning Kyowoon Lee Seongun Kim Jaesik Choi 19 9 0 31 May 2023
Reward-Machine-Guided, Self-Paced Reinforcement Learning Cevahir Köprülü Ufuk Topcu 23 3 0 25 May 2023
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning Kibeom Kim Hyun-Dong Lee Min Whoo Lee Moonheon Lee Minsu Lee Byoung-Tak Zhang 18 1 0 23 May 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum Jigang Kim Daesol Cho H. J. Kim 22 3 0 17 May 2023
Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos Bárbara Gomes Ribeiro Parameswaran Kamalaruban Adish Singla 32 5 0 25 Apr 2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing Kyle Stachowicz Dhruv Shah Arjun Bhorkar Ilya Kostrikov Sergey Levine OffRL 30 26 0 19 Apr 2023
Habits and goals in synergy: a variational Bayesian framework for behavior Dongqi Han Kenji Doya Dongsheng Li Jun Tani BDL 23 220 0 11 Apr 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction Utsav Singh Vinay P. Namboodiri 31 3 0 07 Apr 2023
Planning Goals for Exploration E. Hu Richard Chang Oleh Rybkin Dinesh Jayaraman 43 24 0 23 Mar 2023
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld Laetitia Teodorescu Eric Yuan Marc-Alexandre Côté Pierre-Yves Oudeyer 24 1 0 10 Feb 2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning R. Wang Longtao Zheng Wei Qiu Bowei He Bo An Zinovi Rabinovich Yujing Hu Yingfeng Chen Tangjie Lv Changjie Fan 33 1 0 07 Feb 2023
Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation Daesol Cho Seungjae Lee H. J. Kim 23 14 0 27 Jan 2023
Understanding the Complexity Gains of Single-Task RL with a Curriculum Qiyang Li Yuexiang Zhai Yi-An Ma Sergey Levine 37 14 0 24 Dec 2022
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents Minghuan Liu Zhengbang Zhu Menghui Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao 18 0 0 18 Dec 2022
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation Zhao Yang Thomas M. Moerland Mike Preuss Aske Plaat 25 2 0 06 Dec 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 40 5 0 18 Nov 2022
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks Kuan Fang Toki Migimatsu Ajay Mandlekar Li Fei-Fei Jeannette Bohg 44 2 0 11 Nov 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 26 3 0 28 Oct 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 28 14 0 27 Oct 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation Shuo Cheng Danfei Xu 54 37 0 23 Oct 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad Izzeddin Gur Jasper Emhoff Nathaniel Alexis Aleksandra Faust Pieter Abbeel Ion Stoica SSL 29 12 0 19 Oct 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
A Policy-Guided Imitation Approach for Offline Reinforcement Learning Haoran Xu Li Jiang Jianxiong Li Xianyuan Zhan OffRL 26 61 0 15 Oct 2022
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning Shaohui Peng Xin Hu Rui Zhang Ke Tang Jiaming Guo ... Xishan Zhang Zidong Du Ling Li Qi Guo Yunji Chen 13 22 0 13 Oct 2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation Julian Alverio Boris Katz Andrei Barbu 32 0 0 05 Oct 2022
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning Kang Xu Yan Ma Wei Li 43 0 0 23 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 31 35 0 19 Sep 2022
Cell-Free Latent Go-Explore Quentin Gallouedec Emmanuel Dellandréa 12 1 0 31 Aug 2022
Goal-Conditioned Q-Learning as Knowledge Distillation Alexander Levine S. Feizi OffRL 22 2 0 28 Aug 2022
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment Yilei Zeng Jiali Duan Yongqian Li Emilio Ferrara Lerrel Pinto Chloe Kuo Stefanos Nikolaidis 45 3 0 04 Aug 2022
Backward Imitation and Forward Reinforcement Learning via Bi-directional Model Rollouts Yuxin Pan Fangzhen Lin OffRL 17 3 0 04 Aug 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks David M. Klee Ondrej Biza Robert W. Platt OffRL 21 1 0 22 Jul 2022
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments JB Lanier Stephen Marcus McAleer Pierre Baldi Roy Fox 20 9 0 19 Jul 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning Wenhao Ding Haohong Lin Bo-wen Li Ding Zhao LRM 23 37 0 19 Jul 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Andrei Lupu Heinrich Küttler Edward Grefenstette Tim Rocktaschel Jakob N. Foerster 41 13 0 11 Jul 2022
Learning fast and agile quadrupedal locomotion over complex terrain Xu Chang Zhitong Zhang Honglei An Hongxu Ma Qing Wei 25 0 0 02 Jul 2022
Guided Exploration in Reinforcement Learning via Monte Carlo Critic Optimization Igor Kuznetsov 23 2 0 25 Jun 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 44 101 0 19 Jun 2022