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
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 22 68 0 16 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 25 138 0 15 Jun 2022
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning Nicolas Castanet Sylvain Lamprier Olivier Sigaud 17 2 0 14 Jun 2022
Learning Progress Driven Multi-Agent Curriculum Wenshuai Zhao Zhiyuan Li J. Pajarinen 32 0 0 20 May 2022
Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies A. Romero Gianluca Baldassarre Richard J. Duro V. Santucci 11 0 0 16 May 2022
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision Henghui Zhao Isma Hadji Nikita Dvornik Konstantinos G. Derpanis Richard P. Wildes Allan D. Jepson 26 45 0 04 May 2022
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction Luigi Filippo Chiara Pasquale Coscia Sourav Das Simone Calderara Rita Cucchiara Lamberto Ballan 36 42 0 25 Apr 2022
GloCAL: Glocalized Curriculum-Aided Learning of Multiple Tasks with Application to Robotic Grasping Anil Kurkcu C. Acar D. Campolo K. P. Tee 21 1 0 14 Apr 2022
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets Yunfei Li Tao Kong Lei Li Yi Wu 43 4 0 12 Apr 2022
Evolving Pareto-Optimal Actor-Critic Algorithms for Generalizability and Stability Juan Jose Garau-Luis Yingjie Miao John D. Co-Reyes Aaron T Parisi Jie Tan Esteban Real Aleksandra Faust 29 0 0 08 Apr 2022
A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies Duo Xu Faramarz Fekri 27 2 0 07 Apr 2022
When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation Zhao Yang Thomas M. Moerland Mike Preuss Aske Plaat 21 1 0 29 Mar 2022
Assessing Evolutionary Terrain Generation Methods for Curriculum Reinforcement Learning David Howard Josh Kannemeyer Davide Dolcetti Humphrey Munn Nicole L. Robinson 30 5 0 29 Mar 2022
AutoDIME: Automatic Design of Interesting Multi-Agent Environments I. Kanitscheider Harrison Edwards 24 0 0 04 Mar 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 31 116 0 02 Mar 2022
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation Yuqing Du Pieter Abbeel Aditya Grover 40 18 0 22 Feb 2022
Rule Mining over Knowledge Graphs via Reinforcement Learning Lihan Chen Sihang Jiang Jingping Liu Chao Wang Shenmin Zhang Chenhao Xie Jiaqing Liang Yanghua Xiao Rui Song 36 19 0 21 Feb 2022
Robust Reinforcement Learning via Genetic Curriculum Yeeho Song J. Schneider 11 9 0 17 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 37 7 0 16 Feb 2022
Online Decision Transformer Qinqing Zheng Amy Zhang Aditya Grover OffRL 16 204 0 11 Feb 2022
Contextualize Me -- The Case for Context in Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert Aditya Mohan Sebastian Dohler André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 24 29 0 09 Feb 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 38 65 0 09 Feb 2022
State-Conditioned Adversarial Subgoal Generation V. Wang J. Pajarinen Tinghuai Wang Joni-Kristian Kämäräinen 47 11 0 24 Jan 2022
Environment Generation for Zero-Shot Compositional Reinforcement Learning Izzeddin Gur Natasha Jaques Yingjie Miao Jongwook Choi Manoj Kumar Tiwari Honglak Lee Aleksandra Faust 28 43 0 21 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 27 131 0 20 Jan 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy Hyunsung Lee 7 1 0 18 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation Shiqi Lin Zhizheng Zhang Xin Li Wenjun Zeng Zhibo Chen 24 9 0 06 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL Charles Packer Pieter Abbeel Joseph E. Gonzalez OffRL 21 18 0 02 Dec 2021
Adaptive Multi-Goal Exploration Jean Tarbouriech O. D. Domingues Pierre Ménard Matteo Pirotta Michal Valko A. Lazaric 18 2 0 23 Nov 2021
CubeTR: Learning to Solve The Rubiks Cube Using Transformers Mustafa Chasmai ViT 26 1 0 11 Nov 2021
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 18 32 0 08 Nov 2021
Automatic Goal Generation using Dynamical Distance Learning Bharat Prakash Nicholas R. Waytowich T. Mohsenin Tim Oates 25 2 0 07 Nov 2021
Adjacency constraint for efficient hierarchical reinforcement learning Tianren Zhang Shangqi Guo Tian Tan Xiao M Hu Feng Chen 20 17 0 30 Oct 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment T. Luu Chang-Dong Yoo 15 8 0 28 Oct 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
Learning Diverse Policies in MOBA Games via Macro-Goals Yiming Gao Bei Shi Xueying Du Liang Wang Guangwei Chen ... Weixuan Wang Deheng Ye Qiang Fu Wei Yang Lanxiao Huang 29 10 0 27 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 16 8 0 25 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 29 16 0 22 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 25 117 0 18 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang Miao Liu Abhinav Gupta C. Pal Xue Liu Jie Fu 34 4 0 06 Oct 2021
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 129 95 0 06 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 41 23 0 05 Oct 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning Nikita Rudin David Hoeller Philipp Reist Marco Hutter 115 545 0 24 Sep 2021
Long-Term Exploration in Persistent MDPs L. Ugadiarov Alexey Skrynnik Aleksandr I. Panov 17 1 0 21 Sep 2021
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards Deyu Yang Hanbo Zhang Xuguang Lan Jishiyu Ding OffRL 17 2 0 18 Sep 2021
DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning Daniel Seita Abhinav Gopal Zhao Mandi John F. Canny OffRL OnRL 14 0 0 15 Sep 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals Andrii Zadaianchuk Georg Martius Fanny Yang SSL 64 16 0 09 Sep 2021
Subgoal Search For Complex Reasoning Tasks K. Czechowski Tomasz Odrzygó'zd'z Marek Zbysiñski Michał Zawalski Krzysztof Olejnik Yuhuai Wu Lukasz Kuciñski Piotr Milo's ReLM LRM 24 34 0 25 Aug 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 59 0 20 Aug 2021