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Towards a Simple Approach to Multi-step Model-based Reinforcement
  Learning

Towards a Simple Approach to Multi-step Model-based Reinforcement Learning

31 October 2018
Kavosh Asadi
Evan Cater
Dipendra Kumar Misra
Michael L. Littman
    OffRL
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Papers citing "Towards a Simple Approach to Multi-step Model-based Reinforcement Learning"

4 / 4 papers shown
Title
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control
  via Sample Multiple Reuse
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse
Jiafei Lyu
Le Wan
Zongqing Lu
Xiu Li
OffRL
34
9
0
29 May 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential
  Decision Making
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making
Carlos Núnez-Molina
Pablo Mesejo
Juan Fernández-Olivares
30
3
0
20 Apr 2023
Beware of Instantaneous Dependence in Reinforcement Learning
Beware of Instantaneous Dependence in Reinforcement Learning
Zhengmao Zhu
Yu-Ren Liu
Hong Tian
Yang Yu
Kun Zhang
OffRL
36
1
0
09 Mar 2023
Model-based Reinforcement Learning with Multi-step Plan Value Estimation
Model-based Reinforcement Learning with Multi-step Plan Value Estimation
Hao-Chu Lin
Yihao Sun
Jiajin Zhang
Yang Yu
OffRL
29
7
0
12 Sep 2022
1