Relative Variational Intrinsic Control

14 December 2020

Papers citing "Relative Variational Intrinsic Control"

30 / 30 papers shown

Title
Plasticity as the Mirror of Empowerment David Abel Michael H. Bowling André Barreto Will Dabney Shi Dong ... Doina Precup Jonathan Richens Mark Rowland Tom Schaul Satinder Singh AI4CE 21 0 0 15 May 2025
Diversity Progress for Goal Selection in Discriminability-Motivated RL Erik M. Lintunen Nadia M. Ady Christian Guckelsberger 29 1 0 03 Nov 2024
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning Jiaheng Hu Zizhao Wang Peter Stone Roberto Martin-Martin 45 1 0 15 Oct 2024
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment Annie S. Chen Govind Chada Laura M. Smith Archit Sharma Zipeng Fu Sergey Levine Chelsea Finn 44 7 0 02 Nov 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT Hadar Schreiber Galler Tom Zahavy Guillaume Desjardins Alon Cohen 30 0 0 24 Aug 2023
Diversifying AI: Towards Creative Chess with AlphaZero Tom Zahavy Vivek Veeriah Shaobo Hou Kevin Waugh Matthew Lai Edouard Leurent Nenad Tomašev Lisa Schut Demis Hassabis Satinder Singh 29 15 0 17 Aug 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning Andrew Levy Sreehari Rammohan A. Allievi S. Niekum G. Konidaris 28 5 0 06 Jul 2023
Unsupervised Discovery of Continuous Skills on a Sphere Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 29 0 0 21 May 2023
Behavior Contrastive Learning for Unsupervised Skill Discovery Rushuai Yang Chenjia Bai Hongyi Guo Siyuan Li Bin Zhao Zhen Wang Peng Liu Xuelong Li SSL 29 16 0 08 May 2023
Intrinsic Motivation in Dynamical Control Systems Stas Tiomkin I. Nemenman Daniel Polani Naftali Tishby 18 4 0 29 Dec 2022
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process Jiayu Chen Vaneet Aggarwal Tian-Shing Lan 16 1 0 01 Dec 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 40 5 0 18 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 26 23 0 08 Nov 2022
Skill-Based Reinforcement Learning with Intrinsic Reward Matching Ademi Adeniji Amber Xie Pieter Abbeel OffRL 17 5 0 14 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao Matthieu Lin Yangguang Li Y. Liu Gao Huang 28 13 0 13 Oct 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 31 35 0 19 Sep 2022
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions Chenhao Li Sebastian Blaes Pavel Kolev Marin Vlastelica Jonas Frey Georg Martius SSL 51 29 0 16 Sep 2022
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning Jan Achterhold Markus Krimmel Joerg Stueckler 25 9 0 11 Jul 2022
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis Shayegan Omidshafiei A. Kapishnikov Yannick Assogba Lucas Dixon Been Kim OffRL 33 5 0 17 Jun 2022
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning Frederik Schubert C. Benjamins Sebastian Dohler Bodo Rosenhahn Marius Lindauer SSL OffRL 54 4 0 23 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 23 15 0 04 May 2022
Wasserstein Distance Maximizing Intrinsic Control Ishan Durugkar S. Hansen Stephen Spencer Volodymyr Mnih 16 6 0 28 Oct 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
Wasserstein Unsupervised Reinforcement Learning Shuncheng He Yuhang Jiang Hongchang Zhang Jianzhun Shao Xiangyang Ji OffRL 22 22 0 15 Oct 2021
Learning more skills through optimistic exploration D. Strouse Kate Baumli David Warde-Farley Vlad Mnih S. Hansen SSL 13 45 0 29 Jul 2021
Discovering Diverse Nearly Optimal Policies with Successor Features Tom Zahavy Brendan O'Donoghue André Barreto Volodymyr Mnih Sebastian Flennerhag Satinder Singh 20 20 0 01 Jun 2021
Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for Control Beren Millidge A. Seth Christopher L. Buckley 23 11 0 11 Mar 2021
Discovery of Options via Meta-Learned Subgoals Vivek Veeriah Tom Zahavy Matteo Hessel Zhongwen Xu Junhyuk Oh Iurii Kemaev H. V. Hasselt David Silver Satinder Singh 16 33 0 12 Feb 2021
Learning Diverse Options via InfoMax Termination Critic Yuji Kanagawa Tomoyuki Kaneko 8 1 0 06 Oct 2020