2 papers
cs.AI2024
A Simple, Solid, and Reproducible Baseline for Bridge Bidding AI
Haruka Kita, Sotetsu Koyamada, Yotaro Yamaguchi +1
Contract bridge, a cooperative game characterized by imperfect information and multi-agent dynamics, poses significant challenges and serves as a critical benchmark in artificial i…
cs.AI2023
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
Sotetsu Koyamada, Shinri Okano, Soichiro Nishimori +4
We propose Pgx, a suite of board game reinforcement learning (RL) environments written in JAX and optimized for GPU/TPU accelerators. By leveraging JAX's auto-vectorization and par…