Papers citing 'Automatic Goal Generation for Reinforcement Learning Agents'

Title
Proximal Curriculum with Task Correlations for Deep Reinforcement LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Georgios Tzannetos Parameswaran Kamalaruban Adish Singla 180 5 0 03 May 2024
From Persona to Personalization: A Survey on Role-Playing Language Agents Jiangjie Chen Xintao Wang Rui Xu Siyu Yuan Yikai Zhang ... Caiyu Hu Siye Wu Scott Ren Ziquan Fu Yanghua Xiao 335 170 0 28 Apr 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 177 0 0 19 Apr 2024
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience Manfred Diaz Liam Paull Andrea Tacchetti 323 1 0 03 Apr 2024
Solving a Real-World Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineering Abhijeet Pendyala Asma Atamna Tobias Glasmachers OffRL 194 3 0 03 Apr 2024
A Survey on Large Language Model-Based Game Agents Sihao Hu Tiansheng Huang Gaowen Liu Ramana Rao Kompella Gaowen Liu Selim Furkan Tekin Yichang Xu Zachary Yahn Ling Liu AI4CE LLMAG LM&Ro LM&MA 640 106 0 02 Apr 2024
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of ExpertsInternational Conference on Machine Learning (ICML), 2024 Onur Celik Aleksandar Taranovic Gerhard Neumann 278 16 0 11 Mar 2024
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning Zeyang Liu Lipeng Wan Xinrui Yang Zhuoran Chen Xingyu Chen Xuguang Lan 232 7 0 28 Feb 2024
CI w/o TN: Context Injection without Task Name for Procedure Planning Xinjie Li 153 0 0 23 Feb 2024
Refining Minimax Regret for Unsupervised Environment Design Michael Beukman Samuel Coward Michael T. Matthews Mattie Fellows Minqi Jiang Michael Dennis Jakob Foerster 279 14 0 19 Feb 2024
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RLAAAI Conference on Artificial Intelligence (AAAI), 2024 Sungyoon Kim Yunseon Choi Daiki E. Matsunaga Kee-Eung Kim OffRL 213 16 0 11 Feb 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning Zhiheng Xi Wenxiang Chen Boyang Hong Senjie Jin Rui Zheng ... Xinbo Zhang Yang Liu Tao Gui Tao Gui Xuanjing Huang LRM 162 53 0 08 Feb 2024
Reinforcement Learning from Bagged Reward Yuting Tang Xin-Qiang Cai Yao-Xiang Ding Qiyu Wu Guoqing Liu Masashi Sugiyama OffRL 315 0 0 06 Feb 2024
To the Max: Reinventing Reward in Reinforcement Learning Grigorii Veviurko Wendelin Bohmer Mathijs de Weerdt 182 10 0 02 Feb 2024
GLIDE-RL: Grounded Language Instruction through DEmonstration in RLAdaptive Agents and Multi-Agent Systems (AAMAS), 2024 Chaitanya Kharyal S. Gottipati Tanmay Kumar Sinha Srijita Das Matthew E. Taylor LLMAG 179 2 0 03 Jan 2024
Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Reward Fangyuan Wang Anqing Duan Peng Zhou Shengzeng Huo Guodong Guo Chenguang Yang D. Navarro-Alarcon OffRL VLM 214 1 0 25 Dec 2023
A Dual Curriculum Learning Framework for Multi-UAV Pursuit-Evasion in Diverse Environments Jiayu Chen Guosheng Li Chao Yu Xinyi Yang Botian Xu Huazhong Yang Yu Wang 208 1 0 19 Dec 2023
HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning AgentsIEEE Access (IEEE Access), 2023 Dániel Horváth Jesús Bujalance Martín Ferenc Gàbor Erdos Z. Istenes Fabien Moutarde OffRL 193 2 0 14 Dec 2023
Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation Shaopeng Zhai Jie Wang Tianyi Zhang Fuxian Huang Tao Gui Ming Zhou Jing Hou Yu Qiao Yu Liu LLMAG LM&Ro 423 4 0 12 Dec 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 410 7 0 06 Nov 2023
Domain Randomization via Entropy MaximizationInternational Conference on Learning Representations (ICLR), 2023 Gabriele Tiboni Pascal Klink Jan Peters Tatiana Tommasi Carlo DÉramo Georgia Chalvatzaki 230 20 0 03 Nov 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of SkillsInternational Conference on Machine Learning (ICML), 2023 Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 247 16 0 30 Oct 2023
Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution DisagreementNeural Information Processing Systems (NeurIPS), 2023 Daesol Cho Seungjae Lee H. J. Kim OODD 258 4 0 30 Oct 2023
CQM: Curriculum Reinforcement Learning with a Quantized World ModelNeural Information Processing Systems (NeurIPS), 2023 Seungjae Lee Daesol Cho Jonghae Park H. J. Kim 205 14 0 26 Oct 2023
Learning Agility and Adaptive Legged Locomotion via Curricular Hindsight Reinforcement LearningScientific Reports (Sci Rep), 2023 Sicen Li Yiming Pang Panju Bai Zhaojin Liu Jiawei Li Shihao Hu Liquan Wang Gang Wang 236 11 0 24 Oct 2023
Cross-Episodic Curriculum for Transformer AgentsNeural Information Processing Systems (NeurIPS), 2023 Lucy Xiaoyang Shi Yunfan Jiang Jake Grigsby Linxi "Jim" Fan Yuke Zhu 135 9 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 173 0 0 09 Oct 2023
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 Jiayu Chen Zelai Xu Yunfei Li Chao Yu Jiaming Song Huazhong Yang Fei Fang Yu Wang Yi Wu 227 6 0 07 Oct 2023
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023 Mingde Zhao Safa Alver H. V. Seijen Romain Laroche Doina Precup Yoshua Bengio 391 3 0 30 Sep 2023
Continual Driving Policy Optimization with Closed-Loop Individualized CurriculaIEEE International Conference on Robotics and Automation (ICRA), 2023 Haoyi Niu Yi Tian Xu Xingjian Jiang Jianming Hu 308 3 0 25 Sep 2023
On the Benefit of Optimal Transport for Curriculum Reinforcement LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen 210 7 0 25 Sep 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World ModelsInternational Conference on Machine Learning (ICML), 2023 Yao Fu Run Peng Honglak Lee 127 1 0 25 Aug 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning Andrew Levy Sreehari Rammohan A. Allievi S. Niekum George Konidaris 238 6 0 06 Jul 2023
Reward-Free Curricula for Training Robust World ModelsInternational Conference on Learning Representations (ICLR), 2023 Marc Rigter Minqi Jiang Ingmar Posner VLM OffRL 324 12 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 Weilong Dai 216 3 0 14 Jun 2023
Self-Paced Absolute Learning Progress as a Regularized Approach to Curriculum Learning Tobias Niehues Ulla Scheler Pascal Klink 167 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 355 50 0 02 Jun 2023
Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2023 Kyowoon Lee Seongun Kim Jaesik Choi 185 19 0 31 May 2023
Reward-Machine-Guided, Self-Paced Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Cevahir Köprülü Ufuk Topcu 214 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 169 1 0 23 May 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional CurriculumInternational Conference on Machine Learning (ICML), 2023 Jigang Kim Daesol Cho H. J. Kim 237 4 0 17 May 2023
Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos Bárbara Gomes Ribeiro Parameswaran Kamalaruban Adish Singla 210 13 0 25 Apr 2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous PracticingConference on Robot Learning (CoRL), 2023 Kyle Stachowicz Dhruv Shah Arjun Bhorkar Ilya Kostrikov Sergey Levine OffRL 165 32 0 19 Apr 2023
Habits and goals in synergy: a variational Bayesian framework for behaviorNature Communications (Nat. Commun.), 2023 Dongqi Han Kenji Doya Dongsheng Li Jun Tani BDL 218 205 0 11 Apr 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction Utsav Singh Vinay P. Namboodiri 313 0 0 07 Apr 2023
Planning Goals for ExplorationInternational Conference on Learning Representations (ICLR), 2023 E. Hu Richard Chang Oleh Rybkin Dinesh Jayaraman 196 29 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 251 1 0 10 Feb 2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning Rongpin Wang Longtao Zheng Wei Qiu Bowei He Bo An Zinovi Rabinovich Yujing Hu Yingfeng Chen Tangjie Lv Changjie Fan 118 3 0 07 Feb 2023
Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal GenerationInternational Conference on Learning Representations (ICLR), 2023 Daesol Cho Seungjae Lee H. J. Kim 382 17 0 27 Jan 2023
Understanding the Complexity Gains of Single-Task RL with a CurriculumInternational Conference on Machine Learning (ICML), 2022 Qiyang Li Yuexiang Zhai Yi-An Ma Sergey Levine 343 16 0 24 Dec 2022