torchrl.modules.mcts package

This module provides Monte Carlo Tree Search (MCTS) components, including score computation modules for balancing exploration and exploitation in tree search algorithms.

MCTS Scores

MCTSScore(*args, **kwargs)	Abstract base class for MCTS score computation modules.
PUCTScore(*args, **kwargs)	Computes the PUCT (Polynomial Upper Confidence Trees) score for MCTS.
UCBScore(*args, **kwargs)	Computes the UCB (Upper Confidence Bound) score, specifically UCB1, for MCTS.
EXP3Score(*args, **kwargs)	Computes action selection probabilities for the EXP3 algorithm in MCTS.
UCB1TunedScore(*args, **kwargs)	Computes the UCB1-Tuned score for MCTS, using variance estimation.
MCTSScores(value[, names, module, qualname, ...])	Enum providing factory functions for common MCTS score configurations.