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A Multi-step Loss Function for Robust Learning of the Dynamics in
  Model-based Reinforcement Learning

A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning

5 February 2024
Abdelhakim Benechehab
Albert Thomas
Giuseppe Paolo
Maurizio Filippone
Balázs Kégl
    NoLa
ArXivPDFHTML

Papers citing "A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning"

4 / 4 papers shown
Title
Evaluating model-based planning and planner amortization for continuous
  control
Evaluating model-based planning and planner amortization for continuous control
Arunkumar Byravan
Leonard Hasenclever
Piotr Trochim
M. Berk Mirza
Alessandro Davide Ialongo
...
Jost Tobias Springenberg
A. Abdolmaleki
N. Heess
J. Merel
Martin Riedmiller
55
17
0
07 Oct 2021
Learning Dynamics Models for Model Predictive Agents
Learning Dynamics Models for Model Predictive Agents
M. Lutter
Leonard Hasenclever
Arunkumar Byravan
Gabriel Dulac-Arnold
Piotr Trochim
N. Heess
J. Merel
Yuval Tassa
AI4CE
57
26
0
29 Sep 2021
Exploring the Training Robustness of Distributional Reinforcement
  Learning against Noisy State Observations
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations
Ke Sun
Yingnan Zhao
Shangling Jui
Linglong Kong
OOD
45
17
0
17 Sep 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,955
0
04 May 2020
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