Preprint
Aug 2026
Adaptive Mixing of Policies from Searching and Policies from Learning
Flexer is described, an architecture that, for each step, mixes the policy from a neural network and the policy from Monte Carlo tree search, the mixing factor favors the MCTS policy as the policy imitation error of the network and the environment models'variance increases.
Gavin Rens
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