Shawn Manuel

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 6

Top Topics

Reinforcement Learning

Function Approximation

Top Venues

Publications

Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer
Model Predictive Optimized Path Integral Strategies. ICRA (2023)
Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer
Model Predictive Optimized Path Integral Strategies. CoRR (2022)
Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning. CoRR (2021)
Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning. ICRA (2021)
Yutai Zhou, Shawn Manuel, Peter Morales, Sheng Li, Jaime Pena, Ross E. Allen
Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research. HPEC (2020)
Shawn Manuel, David Rajaratnam, Michael Thielscher
Encoding Epistemic Strategies for General Game Playing. PRICAI (1) (2019)