Go

'Go' is a board game included in a dataset used to evaluate the efficiency of model-free reinforcement learning algorithms in complex decision-making scenarios.

Papers using Go (3)

Revisiting Regularized Policy Optimization for Stable and Efficient Reinforcement Learning in Two-Player Games2026"So, Tell Me About Your Policy...": Distillation of interpretable policies from Deep Reinforcement Learning agents2025Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations2025