Samuel Garcin

According to our database, Samuel Garcin authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design.

Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht

CoRR, 2024

2023

How the level sampling process impacts zero-shot generalisation in deep reinforcement learning.

Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht

CoRR, 2023

2022

Deep reinforcement learning for multi-agent interaction.

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

AI Commun., 2022

2021

A Hybrid Controller for Multi-Agent Collision Avoidance via a Differential Game Formulation.

Domenico Cappello, Samuel Garcin, Z. Mao, Mario Sassano, Aditya A. Paranjape, Thulasi Mylvaganam

IEEE Trans. Control. Syst. Technol., 2021

GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving.

Cillian Brewitt, Balint Gyevnar, Samuel Garcin, Stefano V. Albrecht

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021