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A Note on Loss Functions and Error Compounding in Model-based
  Reinforcement Learning

A Note on Loss Functions and Error Compounding in Model-based Reinforcement Learning

15 April 2024
Nan Jiang
ArXivPDFHTML

Papers citing "A Note on Loss Functions and Error Compounding in Model-based Reinforcement Learning"

5 / 5 papers shown
Title
Statistical Inference in Reinforcement Learning: A Selective Survey
Statistical Inference in Reinforcement Learning: A Selective Survey
Chengchun Shi
OffRL
67
0
0
22 Feb 2025
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol
Pai Liu
Lingfeng Zhao
Shivangi Agarwal
Jinghan Liu
Audrey Huang
P. Amortila
Nan Jiang
OODD
OffRL
101
0
0
11 Feb 2025
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement
  Learning
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
Shuguang Yu
Shuxing Fang
Ruixin Peng
Zhengling Qi
Fan Zhou
C. Shi
CML
OffRL
82
1
0
08 Dec 2024
Bisimulation Metrics are Optimal Transport Distances, and Can be
  Computed Efficiently
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
Sergio Calo
Anders Jonsson
Gergely Neu
Ludovic Schwartz
Javier Segovia
OT
40
1
0
06 Jun 2024
Representation Learning with Multi-Step Inverse Kinematics: An Efficient
  and Optimal Approach to Rich-Observation RL
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
Zakaria Mhammedi
Dylan J. Foster
Alexander Rakhlin
63
18
0
12 Apr 2023
1