Encoding Epistemic Strategies for General Game Playing. - Shawn Manuel; David Rajaratnam; Michael Thielscher (PRICAI (1), 2019)

Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research. - Yutai Zhou; Shawn Manuel; Peter Morales; Sheng Li; Jaime Peña 001; Ross E. Allen (HPEC, 2020)

LASER: Learning a Latent Action Space for Efficient Reinforcement Learning. - Arthur Allshire; Roberto Martín-Martín; Charles Lin; Shawn Manuel; Silvio Savarese; Animesh Garg (ICRA, 2021)

Model Predictive Optimized Path Integral Strategies. - Dylan M. Asmar; Ransalu Senanayake; Shawn Manuel; Mykel J. Kochenderfer (ICRA, 2023)

Towards an Autonomous Test Driver: High-Performance Driver Modeling via Reinforcement Learning. - John Subosits; Jenna Lee; Shawn Manuel; Paul Tylkin; Avinash Balachandran (CoRR, 2024)