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Shawn Manuel
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 6
Top Topics
Reinforcement Learning
Rl Algorithms
Function Approximation
Action Space
Top Venues
ICRA
CoRR
PRICAI (1)
HPEC
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Publications
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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)