28 citations · 45 across the 12 of their papers we have counts for
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cs.LG2026
Learning Reusable Hybrid Motion Priors for Humanoid Locomotion from Motion Imitation
Valerio Belli, Valerio Modugno, Enrico Mingo Hoffman +1
Reinforcement learning can produce robust humanoid controllers, but each new task is typically trained as a separate policy with its own reward design and training process. Motion…
cs.LG2021★ 28 cited
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello +3
In this paper, we present a Model-Based Reinforcement Learning (MBRL) algorithm named \emph{Monte Carlo Probabilistic Inference for Learning COntrol} (MC-PILCO). The algorithm reli…