Search Results for author: Shawn Manuel

Found 2 papers, 1 papers with code

Model Predictive Optimized Path Integral Strategies

2 code implementations30 Mar 2022 Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer

We generalize the derivation of model predictive path integral control (MPPI) to allow for a single joint distribution across controls in the control sequence.

LASER: Learning a Latent Action Space for Efficient Reinforcement Learning

no code implementations29 Mar 2021 Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg

Additionally, similar tasks or instances of the same task family impose latent manifold constraints on the most effective action space: the task family can be best solved with actions in a manifold of the entire action space of the robot.

reinforcement-learning Reinforcement Learning (RL)

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