decentgradient / 3dtictactoe Goto Github PK
View Code? Open in Web Editor NEWDeep Reinforcement Learning agent playing 3D TicTacToe using Deep Deterministic Policy Gradient algorithm
License: GNU General Public License v3.0
Deep Reinforcement Learning agent playing 3D TicTacToe using Deep Deterministic Policy Gradient algorithm
License: GNU General Public License v3.0
Directory List backupscripts - experiments done during development imports may not resolve unless moved back to parent chk - checkpoints - not used common - 1 benchmark.py - benchmarking objects 2 dnn.py - deep version of ddpg network and training objects 3 game.py - the game environment 4 nn.py - shallow version of dnn.py originally used 5 q.py - implementation of DQN 6 replay_buffer.py - memory buffer for dnn data - pickled results of experiments plots - images generated by pyplot of pickeld data results - NA Scripts in parent directory pgqvrand.py - ddpg player 1 vs random player 2 randvpgq.py random player 1 vs ddpg player 2 pgvpgrand.py - ddpg player 1 vs ddpg player 2 with 50% random moves pgrandvpg.py - ddpg player with 50% random moves 1 vs ddpg player 2
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