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

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.LG2024★ 2 cited

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

Abdelhakim Benechehab, Albert Thomas, Giuseppe Paolo +2

In model-based reinforcement learning, most algorithms rely on simulating trajectories from one-step models of the dynamics learned on data. A critical challenge of this approach i…

cs.LG2023

Multi-timestep models for Model-based Reinforcement Learning

Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas +2

In model-based reinforcement learning (MBRL), most algorithms rely on simulating trajectories from one-step dynamics models learned on data. A critical challenge of this approach i…