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
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution Yufei Lin Chengwei Ye H. Zhang Kangsheng Wang Linuo Xu Shuyan Liu Zeyu Zhang 32 1 0 08 May 2025
MOSAIC: A Skill-Centric Algorithmic Framework for Long-Horizon Manipulation Planning Itamar Mishani Yorai Shaoul Maxim Likhachev 40 0 0 23 Apr 2025
Next-Future: Sample-Efficient Policy Learning for Robotic-Arm Tasks Fikrican Özgür René Zurbrugg Suryansh Kumar 35 0 0 15 Apr 2025
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning Taiwei Shi Yiyang Wu Linxin Song Tianyi Zhou Jieyu Zhao LRM 78 1 0 07 Apr 2025
MultiClear: Multimodal Soft Exoskeleton Glove for Transparent Object Grasping Assistance Chen Hu Timothy Neate Shan Luo Letizia Gionfrida 49 0 0 04 Apr 2025
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning Llewyn Salt Marcus Gallagher 31 1 0 02 Apr 2025
Causally Aligned Curriculum Learning Mingxuan Li Junzhe Zhang Elias Bareinboim CML 61 3 0 21 Mar 2025
Reward Training Wheels: Adaptive Auxiliary Rewards for Robotics Reinforcement Learning Linji Wang Tong Xu Yuanjie Lu Xuesu Xiao 48 0 0 19 Mar 2025
ForceGrip: Reference-Free Curriculum Learning for Realistic Grip Force Control in VR Hand Manipulation DongHeun Han Byungmin Kim RoUn Lee KyeongMin Kim Hyoseok Hwang HyeongYeop Kang 60 0 0 11 Mar 2025
Learn2Mix: Training Neural Networks Using Adaptive Data Integration Shyam Venkatasubramanian Vahid Tarokh 81 0 0 17 Feb 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun-Jie Luo 81 1 0 28 Jan 2025
Eurekaverse: Environment Curriculum Generation via Large Language Models William Liang Sam Wang Hung-Ju Wang Osbert Bastani Dinesh Jayaraman Yecheng Jason Ma SyDa 36 1 0 04 Nov 2024
Learning World Models for Unconstrained Goal Navigation Yuanlin Duan Wensen Mao He Zhu 34 1 0 03 Nov 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning Yuanlin Duan Guofeng Cui He Zhu OffRL 29 0 0 03 Nov 2024
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks Michael T. Matthews Michael Beukman Chris Xiaoxuan Lu Jakob Foerster OffRL AI4CE 36 2 0 30 Oct 2024
Latent-Predictive Empowerment: Measuring Empowerment without a Simulator Andrew Levy A. Allievi George Konidaris 68 0 0 15 Oct 2024
AFlow: Automating Agentic Workflow Generation Jiayi Zhang Jinyu Xiang Zhaoyang Yu Fengwei Teng Xionghui Chen ... Jinlin Wang Bingnan Zheng Bang Liu Yuyu Luo Chenglin Wu AIFin AI4CE 27 31 0 14 Oct 2024
Words as Beacons: Guiding RL Agents with High-Level Language Prompts Unai Ruiz-Gonzalez Alain Andres Pedro G. Bascoy Javier Del Ser 28 0 0 11 Oct 2024
SePPO: Semi-Policy Preference Optimization for Diffusion Alignment Daoan Zhang Guangchen Lan Dong-Jun Han Wenlin Yao Xiaoman Pan ... Mingxiao Li Pengcheng Chen Yu Dong Christopher Brinton Jiebo Luo EGVM 31 4 0 07 Oct 2024
Goal-Conditioned Terminal Value Estimation for Real-time and Multi-task Model Predictive Control Mitsuki Morita Satoshi Yamamori Satoshi Yagi Norikazu Sugimoto Jun Morimoto 24 0 0 07 Oct 2024
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance Renming Huang Shaochong Liu Yunqiang Pei Peng Wang Guoqing Wang Yang Yang Hengtao Shen OffRL 32 0 0 06 Sep 2024
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery Alexander Rutherford Michael Beukman Timon Willi Bruno Lacerda Nick Hawes Jakob Foerster 46 6 0 27 Aug 2024
Online Optimization of Curriculum Learning Schedules using Evolutionary Optimization Mohit Jiwatode Leon Schlecht Alexander Dockhorn 28 0 0 12 Aug 2024
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals Grace Liu Michael Tang Benjamin Eysenbach OffRL 40 0 0 11 Aug 2024
Learning telic-controllable state representations Nadav Amir Stas Tiomkin Angela Langdon 34 0 0 20 Jun 2024
REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability Shuang Ao Simon Khan Haris Aziz Flora D. Salim 37 0 0 20 Jun 2024
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning Georgios Tzannetos Parameswaran Kamalaruban Adish Singla 31 4 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 62 77 0 28 Apr 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 26 0 0 19 Apr 2024
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience Manfred Diaz Liam Paull Andrea Tacchetti 47 0 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 27 1 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 LLMAG LM&Ro AI4CE LM&MA 69 51 0 02 Apr 2024
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts Onur Celik Aleksandar Taranovic Gerhard Neumann 31 7 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 21 3 0 28 Feb 2024
CI w/o TN: Context Injection without Task Name for Procedure Planning Xinjie Li 31 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 20 6 0 19 Feb 2024
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL Sungyoon Kim Yunseon Choi Daiki E. Matsunaga Kee-Eung Kim OffRL 38 6 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 Peng Sun Tao Gui Qi Zhang Xuanjing Huang LRM 32 20 0 08 Feb 2024
Reinforcement Learning from Bagged Reward Yuting Tang Xin-Qiang Cai Yao-Xiang Ding Qiyu Wu Guoqing Liu Masashi Sugiyama OffRL 26 0 0 06 Feb 2024
To the Max: Reinventing Reward in Reinforcement Learning Grigorii Veviurko Wendelin Bohmer Mathijs de Weerdt 19 5 0 02 Feb 2024
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL Chaitanya Kharyal S. Gottipati Tanmay Kumar Sinha Srijita Das Matthew E. Taylor LLMAG 13 1 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 33 0 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 37 1 0 19 Dec 2023
HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning Agents Dániel Horváth Jesús Bujalance Martín Ferenc Gàbor Erdos Z. Istenes Fabien Moutarde OffRL 23 1 0 14 Dec 2023
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 34 1 0 12 Dec 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 37 4 0 06 Nov 2023
Domain Randomization via Entropy Maximization Gabriele Tiboni Pascal Klink Jan Peters Tatiana Tommasi Carlo DÉramo Georgia Chalvatzaki 27 15 0 03 Nov 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 41 7 0 30 Oct 2023
Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement Daesol Cho Seungjae Lee H. J. Kim OODD 21 0 0 30 Oct 2023
CQM: Curriculum Reinforcement Learning with a Quantized World Model Seungjae Lee Daesol Cho Jonghae Park H. J. Kim 26 6 0 26 Oct 2023