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PAnDR: Fast Adaptation to New Environments from Offline Experiences via
  Decoupling Policy and Environment Representations

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations

6 April 2022
Tong Sang
Hongyao Tang
Yi Ma
Jianye Hao
Yan Zheng
Zhaopeng Meng
Boyan Li
Zhen Wang
    OffRL
ArXivPDFHTML

Papers citing "PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations"

3 / 3 papers shown
Title
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
Jinyi Liu
Y. Ma
Jianye Hao
Yujing Hu
Yan Zheng
Tangjie Lv
Changjie Fan
OffRL
44
2
0
27 Jun 2023
Towards A Unified Policy Abstraction Theory and Representation Learning
  Approach in Markov Decision Processes
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes
M. Zhang
Hongyao Tang
Jianye Hao
Yan Zheng
OffRL
28
0
0
16 Sep 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
341
11,684
0
09 Mar 2017
1