Efficient Exploration via State Marginal Matching

12 June 2019

Papers citing "Efficient Exploration via State Marginal Matching"

50 / 63 papers shown

Title
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Vincenzo De Paola Riccardo Zamboni Mirco Mutti Marcello Restelli 19 0 0 02 May 2025
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning Wesley A. Suttle A. Suresh Carlos Nieto-Granda OffRL 95 0 0 06 Feb 2025
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems Se-Wook Yoo Seung-Woo Seo 50 0 0 30 Jan 2025
Value of Information and Reward Specification in Active Inference and POMDPs Ran Wei 54 3 0 13 Aug 2024
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods Ric De Santi Manish Prajapat Andreas Krause 36 3 0 13 Jul 2024
Preference-Guided Reinforcement Learning for Efficient Exploration Guojian Wang Faguo Wu Xiao Zhang Tianyuan Chen Xuyang Chen Lin Zhao 40 0 0 09 Jul 2024
Exploration by Learning Diverse Skills through Successor State Measures Paul-Antoine Le Tolguenec Yann Besse Florent Teichteil-Königsbuch Dennis G. Wilson Emmanuel Rachelson 38 0 0 14 Jun 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Donghu Kim Jaegul Choo 39 1 0 01 Jun 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning Xin Liu Yaran Chen Dong Zhao 40 1 0 20 May 2024
Leveraging Symmetry in RL-based Legged Locomotion Control Zhi Su Xiaoyu Huang Daniel Felipe Ordoñez Apraez Yunfei Li Zhongyu Li ... Giulio Turrisi Massimiliano Pontil Claudio Semini Yi Wu K. Sreenath 39 14 0 26 Mar 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji Yongyuan Liang Yan Zeng Yu-Juan Luo Guowei Xu Jiawei Guo Ruijie Zheng Furong Huang Gang Hua Huazhe Xu CML 48 11 0 22 Feb 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport Maksim Bobrin N. Buzun Dmitrii Krylov Dmitry V. Dylov OffRL 48 3 0 20 Feb 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing Haobin Jiang Ziluo Ding Zongqing Lu 24 2 0 03 Feb 2024
Behind the Myth of Exploration in Policy Gradients Adrien Bolland Gaspard Lambrechts Damien Ernst 51 0 0 31 Jan 2024
Augmenting Unsupervised Reinforcement Learning with Self-Reference Andrew Zhao Erle Zhu Rui Lu Matthieu Lin Yong-Jin Liu Gao Huang SSL 31 1 0 16 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
Iteratively Learn Diverse Strategies with State Distance Information Wei Fu Weihua Du Jingwei Li Sunli Chen Jingzhao Zhang Yi Wu 51 3 0 23 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 39 0 0 08 Sep 2023
Reinforcement Learning by Guided Safe Exploration Qisong Yang T. D. Simão N. Jansen Simon Tindemans M. Spaan OffRL OnRL 26 5 0 26 Jul 2023
Fast Rates for Maximum Entropy Exploration D. Tiapkin Denis Belomestny Daniele Calandriello Eric Moulines Rémi Munos A. Naumov Pierre Perrault Yunhao Tang Michal Valko Pierre Menard 41 17 0 14 Mar 2023
Scalable Multi-Agent Reinforcement Learning with General Utilities Donghao Ying Yuhao Ding Alec Koppel Javad Lavaei 38 1 0 15 Feb 2023
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach Yigit Gurses Kaan Buyukdemirci Y. Yildiz 31 5 0 04 Feb 2023
A general Markov decision process formalism for action-state entropy-regularized reward maximization D. Grytskyy Jorge Ramírez-Ruiz R. Moreno-Bote 22 3 0 02 Feb 2023
Self-Motivated Multi-Agent Exploration Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 44 5 0 05 Jan 2023
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 29 21 0 23 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 45 5 0 18 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 General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 55 8 0 23 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao Matthieu Lin Yangguang Li Yong-Jin Liu Gao Huang 28 13 0 13 Oct 2022
Distributionally Adaptive Meta Reinforcement Learning Anurag Ajay Abhishek Gupta Dibya Ghosh Sergey Levine Pulkit Agrawal OOD 29 14 0 06 Oct 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 34 35 0 19 Sep 2022
Co-Imitation: Learning Design and Behaviour by Imitation C. Rajani Karol Arndt David Blanco Mulero K. Luck Ville Kyrki 20 4 0 02 Sep 2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration Zijian Gao Yiying Li Kele Xu Yuanzhao Zhai Dawei Feng Bo Ding Xinjun Mao Huaimin Wang 32 0 0 24 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
Receding Horizon Inverse Reinforcement Learning Yiqing Xu Wei Gao David Hsu 21 14 0 09 Jun 2022
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting Tomasz Korbak Hady ElSahar Germán Kruszewski Marc Dymetman CLL 19 50 0 01 Jun 2022
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning Xinran Liang Katherine Shu Kimin Lee Pieter Abbeel 21 58 0 24 May 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 18 117 0 25 Mar 2022
Rényi State Entropy for Exploration Acceleration in Reinforcement Learning Mingqi Yuan Man-On Pun Dong Wang 19 23 0 08 Mar 2022
Challenging Common Assumptions in Convex Reinforcement Learning Mirco Mutti Ric De Santi Piersilvio De Bartolomeis Marcello Restelli OffRL 26 21 0 03 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery Michael Laskin Hao Liu Xue Bin Peng Denis Yarats Aravind Rajeswaran Pieter Abbeel SSL 74 65 0 01 Feb 2022
B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee Laura M. Smith Anca Dragan Pieter Abbeel OffRL 31 93 0 04 Nov 2021
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching Pierre-Alexandre Kamienny Jean Tarbouriech Sylvain Lamprier A. Lazaric Ludovic Denoyer SSL 38 18 0 27 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 61 31 0 06 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 92 0 14 Sep 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 36 119 0 31 Aug 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh A. Schwing 33 104 0 23 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 41 15 0 10 Jul 2021
Applications of the Free Energy Principle to Machine Learning and Neuroscience Beren Millidge DRL 20 7 0 30 Jun 2021