A Mixture of Surprises for Unsupervised Reinforcement Learning

A Mixture of Surprises for Unsupervised Reinforcement Learning

13 October 2022

Gao Huang

Papers citing "A Mixture of Surprises for Unsupervised Reinforcement Learning"

11 / 11 papers shown

Title
Constrained Intrinsic Motivation for Reinforcement Learning Xiang Zheng Xingjun Ma Chao Shen Cong Wang 21 1 0 12 Jul 2024
Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning Adriana Hugessen Roger Creus Castanyer Faisal Mohamed Glen Berseth 25 0 0 27 May 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Xuezhou Xu Hang Su Xingxing Zhang Jun Zhu 27 4 0 23 May 2024
Augmenting Unsupervised Reinforcement Learning with Self-Reference Andrew Zhao Erle Zhu Rui Lu Matthieu Lin Yong-Jin Liu Gao Huang SSL 14 1 0 16 Nov 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 28 33 0 13 Oct 2023
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery Xin Liu Yaran Chen Dong Zhao 17 0 0 29 Sep 2023
Controllability-Aware Unsupervised Skill Discovery Seohong Park Kimin Lee Youngwoon Lee Pieter Abbeel 16 43 0 10 Feb 2023
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning Frederik Schubert C. Benjamins Sebastian Dohler Bodo Rosenhahn Marius Lindauer SSL OffRL 48 4 0 23 May 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
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 51 31 0 06 Oct 2021