Unsupervised Skill Discovery with Bottleneck Option Learning

27 June 2021

Papers citing "Unsupervised Skill Discovery with Bottleneck Option Learning"

21 / 21 papers shown

Title
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints Pavel Kolev Marin Vlastelica Georg Martius OffRL 33 0 0 08 Jan 2025
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions Zizhao Wang Jiaheng Hu Caleb Chuck Stephen Chen Roberto Martín-Martín Amy Zhang S. Niekum Peter Stone OffRL 56 0 0 24 Oct 2024
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning Jiaheng Hu Zizhao Wang Peter Stone Roberto Martín-Martín 45 1 0 15 Oct 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Xuezhou Xu Hang Su Xingxing Zhang Jun Zhu 32 4 0 23 May 2024
Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement Daesol Cho Seungjae Lee H. J. Kim OODD 23 0 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 Diversity Maximization Under Imitation Constraints Marin Vlastelica Jin Cheng Georg Martius Pavel Kolev OffRL 38 0 0 21 Jul 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning Andrew Levy Sreehari Rammohan A. Allievi S. Niekum George Konidaris 30 5 0 06 Jul 2023
Granger-Causal Hierarchical Skill Discovery Caleb Chuck Kevin Black Aditya Arjun Yuke Zhu S. Niekum OffRL 38 1 0 15 Jun 2023
Unsupervised Discovery of Continuous Skills on a Sphere Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 29 0 0 21 May 2023
Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills Maxence Hussonnois Thommen George Karimpanal Santu Rana 28 4 0 07 Mar 2023
Controllability-Aware Unsupervised Skill Discovery Seohong Park Kimin Lee Youngwoon Lee Pieter Abbeel 29 43 0 10 Feb 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 16 9 0 08 Feb 2023
Deep Laplacian-based Options for Temporally-Extended Exploration Martin Klissarov Marlos C. Machado OffRL 16 18 0 26 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
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning Zih-Yun Chiu Yi-Lin Tuan William Yang Wang Michael C. Yip OffRL 25 3 0 07 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
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis Shayegan Omidshafiei A. Kapishnikov Yannick Assogba Lucas Dixon Been Kim OffRL 36 5 0 17 Jun 2022
Lipschitz-constrained Unsupervised Skill Discovery Seohong Park Jongwook Choi Jaekyeom Kim Honglak Lee Gunhee Kim 43 44 0 02 Feb 2022
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 38 14 0 10 Oct 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 130 82 0 16 Jan 2021