Dynamics-Aware Unsupervised Discovery of Skills

2 July 2019

Vikash Kumar

Papers citing "Dynamics-Aware Unsupervised Discovery of Skills"

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Title
Decentralized Traffic Flow Optimization Through Intrinsic Motivation Himaja Papala Daniel Polani Stas Tiomkin 2 0 0 08 May 2025
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
DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents Shashank Sharma Janina Hoffmann Vinay P. Namboodiri 91 0 0 04 Feb 2025
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints Pavel Kolev Marin Vlastelica Georg Martius OffRL 35 0 0 08 Jan 2025
CORD: Generalizable Cooperation via Role Diversity Kanefumi Matsuyama Kefan Su Jiangxing Wang Deheng Ye Zongqing Lu 40 0 0 04 Jan 2025
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 57 0 0 23 Oct 2024
Exploration by Learning Diverse Skills through Successor State Measures Paul-Antoine Le Tolguenec Yann Besse Florent Teichteil-Königsbuch Dennis G. Wilson Emmanuel Rachelson 40 0 0 14 Jun 2024
Language Guided Skill Discovery Seungeun Rho Laura Smith Tianyu Li Sergey Levine Xue Bin Peng Sehoon Ha LM&Ro 42 4 0 07 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
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 40 0 0 15 Apr 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport Maksim Bobrin N. Buzun Dmitrii Krylov Dmitry V. Dylov OffRL 51 3 0 20 Feb 2024
SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning Eric Hanchen Jiang Andrew Lizarraga 26 0 0 06 Dec 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 41 7 0 30 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias Max Sobol Mark Archit Sharma Fahim Tajwar Rafael Rafailov Sergey Levine Chelsea Finn OffRL OnRL 31 1 0 12 Oct 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 44 0 0 08 Sep 2023
Language Reward Modulation for Pretraining Reinforcement Learning Ademi Adeniji Amber Xie Carmelo Sferrazza Younggyo Seo Stephen James Pieter Abbeel 39 26 0 23 Aug 2023
Skill Transformer: A Monolithic Policy for Mobile Manipulation Xiaoyu Huang Dhruv Batra Akshara Rai Andrew Szot LM&Ro 38 21 0 19 Aug 2023
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration Félix Chalumeau Bryan Lim Raphael Boige Maxime Allard Luca Grillotti Manon Flageat Valentin Macé Arthur Flajolet Thomas Pierrot Antoine Cully 29 21 0 07 Aug 2023
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions Shanqi Liu Weiwei Liu Wenzhou Chen Guanzhong Tian Y. Liu 33 0 0 05 Jul 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling Jesse Zhang Karl Pertsch Jiahui Zhang Joseph J. Lim LM&Ro 36 17 0 20 Jun 2023
On the Value of Myopic Behavior in Policy Reuse Kang Xu Chenjia Bai Shuang Qiu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 32 1 0 28 May 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species Ryan Wickman Bibek Poudel Taylor Michael Villarreal Xiaofei Zhang Weizi Li 36 6 0 14 Apr 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning T. Kanazawa Chetan Gupta 29 0 0 15 Mar 2023
Neural Laplace Control for Continuous-time Delayed Systems Samuel Holt Alihan Huyuk Zhaozhi Qian Hao Sun M. Schaar OffRL 29 10 0 24 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 36 20 0 13 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
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition P. Sunehag A. Vezhnevets Edgar A. Duénez-Guzmán Igor Mordach Joel Z Leibo 26 2 0 02 Feb 2023
Intrinsic Motivation in Dynamical Control Systems Stas Tiomkin I. Nemenman Daniel Polani Naftali Tishby 18 4 0 29 Dec 2022
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control Xiang Zheng Xingjun Ma Cong Wang 28 1 0 28 Nov 2022
Assistive Teaching of Motor Control Tasks to Humans Megha Srivastava Erdem Biyik Suvir Mirchandani Noah D. Goodman Dorsa Sadigh 20 6 0 25 Nov 2022
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 48 5 0 18 Nov 2022
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling Daniel Lawson A. H. Qureshi 24 7 0 11 Nov 2022
Emergency action termination for immediate reaction in hierarchical reinforcement learning Michal Bortkiewicz Jakub Lyskawa Pawel Wawrzyñski M. Ostaszewski Artur Grudkowski Tomasz Trzciñski 21 0 0 11 Nov 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 31 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 9 0 23 Oct 2022
Random Actions vs Random Policies: Bootstrapping Model-Based Direct Policy Search Elias Hanna Alexandre Coninx Stéphane Doncieux OffRL 28 0 0 21 Oct 2022
Augmentative Topology Agents For Open-Ended Learning Muhammad Umair Nasir Michael Beukman Steven D. James C. Cleghorn 34 3 0 20 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
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery Félix Chalumeau Raphael Boige Bryan Lim Valentin Macé Maxime Allard Arthur Flajolet Antoine Cully Thomas Pierrot 26 21 0 06 Oct 2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation Kang Xu Yan Ma Bingsheng Wei Wei Li 27 3 0 24 Sep 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
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
Learning Dynamic Manipulation Skills from Haptic-Play Taeyoon Lee D. Sung Kyoung-Whan Choi Choong-Keun Lee Changwoo Park Keunjun Choi 40 3 0 28 Jul 2022
Fast Population-Based Reinforcement Learning on a Single Machine Arthur Flajolet Claire Bizon Monroc Karim Beguir Thomas Pierrot OffRL 27 10 0 17 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 28 139 0 15 Jun 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 38 6 0 07 Jun 2022
Uniqueness and Complexity of Inverse MDP Models Marcus Hutter Steven Hansen 22 4 0 02 Jun 2022
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments Ryan Sullivan J. K. Terry Benjamin Black John P. Dickerson 22 8 0 14 May 2022