Samuel Garcin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Function Approximation

American Football

Autonomous Driving

Reinforcement Learning

Top Venues

IEEE Trans. Control. Syst. Technol.

Publications

Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design. CoRR (2024)
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht
How the level sampling process impacts zero-shot generalisation in deep reinforcement learning. CoRR (2023)
Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht
Deep Reinforcement Learning for Multi-Agent Interaction. CoRR (2022)
Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht
Deep reinforcement learning for multi-agent interaction. AI Commun. 35 (4) (2022)
Domenico Cappello, Samuel Garcin, Z. Mao, Mario Sassano, Aditya A. Paranjape, Thulasi Mylvaganam
A Hybrid Controller for Multi-Agent Collision Avoidance via a Differential Game Formulation. IEEE Trans. Control. Syst. Technol. 29 (4) (2021)
Cillian Brewitt, Balint Gyevnar, Samuel Garcin, Stefano V. Albrecht
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving. IROS (2021)