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Awesome GitHub RepositoriesBatched State Transitions
Execution of simultaneous state updates across multiple parallel simulation environments.
Distinct from Epoch State Transitions: Existing candidates are specific to blockchains or visual transitions; this is for parallel RL environment state updates.
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Awesome Batched State Transitions GitHub Repositories
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- google-deepmind/mctx
google-deepmind/mctx
2,590Auf GitHub ansehenmctx is a framework for executing high-performance tree search and state simulations to generate policy targets for neural networks. It functions as a compiled search engine and neural dynamics simulator that predicts state transitions and rewards using learned representations. The project implements a vectorised tree search capable of running parallel search operations across input batches. It utilizes a policy target generator to convert search results into action weights used for training and refining neural network policies. The system covers reinforcement learning workflows by integrati
Implements batch-parallel state transitions to update multiple simulated environments using a single compiled function call.
Pythonjaxmonte-carlo-tree-searchreinforcement-learning
