I‐Chen Wu

Multi-Labelled Value Networks for Computer Go

2017 · arXiv (Cornell University)

This paper proposes a new approach to a novel value network architecture for the game Go, called a multi-labelled (ML) value network. In the ML value network, different values (win rates) are trained simultaneously for …

Sim-To-Real Transfer for Miniature Autonomous Car Racing

2020 · arXiv (Cornell University)

Sim-to-real, a term that describes where a model is trained in a simulator then transferred to the real world, is a technique that enables faster deep reinforcement learning (DRL) training. However, differences between the simulator …

Solving 7x7 Killall-Go with Seki Database

2024 · arXiv (Cornell University)

Game solving is the process of finding the theoretical outcome for a game, assuming that all player choices are optimal. This paper focuses on a technique that can reduce the heuristic search space significantly for …