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Status quo:
We run and let MCTS "learn", but for the next run of MCTS we start again from Zero.
Idea:
Use the previous iterations and memorise (until a certain layer of moves) the previous playouts and values and nodes.
Approach:
Implement a "single-time" memory of 1 previous iteration => for now only 1 memory is given and the MCTS run uses this and updates this for one additional iteration => 1 run values stored for 1 additional run
Implement a loop where there is n iterations of MCTS runs, so that we update the "Memory" n times with the previous run values and n runs of MCTS and plays => all previous run values stored for n additional runs
The text was updated successfully, but these errors were encountered:
Status quo:
We run and let MCTS "learn", but for the next run of MCTS we start again from Zero.
Idea:
Use the previous iterations and memorise (until a certain layer of moves) the previous playouts and values and nodes.
Approach:
The text was updated successfully, but these errors were encountered: