EUCLID: Towards Efficient Unsupervised Reinforcement Learning with
Multi-choice Dynamics Model

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model

2 October 2022

Jianye Hao

Yan Zheng

Changjie Fan

Papers citing "EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model"

5 / 5 papers shown

Title
TD-MPC2: Scalable, Robust World Models for Continuous Control Nicklas Hansen Hao Su Xiaolong Wang MU 32 127 0 25 Oct 2023
ERL-Re $^2$ : Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation Jianye Hao Pengyi Li Hongyao Tang Yan Zheng Xian Fu Zhaopeng Meng 29 23 0 26 Oct 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 49 9 0 28 May 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 45 18 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 78 65 0 01 Feb 2022