One After Another: Learning Incremental Skills for a Changing World

21 March 2022

Papers citing "One After Another: Learning Incremental Skills for a Changing World"

10 / 10 papers shown

Title
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
LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery Weikang Wan Yifeng Zhu Rutav Shah Yuke Zhu SSL LM&Ro VLM CLL 36 22 0 03 Nov 2023
Learning to Discover Skills through Guidance Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Sejik Park Kyushik Min Jaegul Choo 47 6 0 31 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery Xin Liu Yaran Chen Dong Zhao 38 0 0 29 Sep 2023
Controllability-Aware Unsupervised Skill Discovery Seohong Park Kimin Lee Youngwoon Lee Pieter Abbeel 32 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 59 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
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 284 341 0 14 Sep 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,684 0 09 Mar 2017