Upload policy_config.py with huggingface_hub
Browse files- policy_config.py +106 -0
policy_config.py
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exp_config = {
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'main_config': {
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'exp_name': 'TicTacToe-play-with-bot-AlphaZero',
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'seed': 0,
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'env': {
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'env_id': 'TicTacToe-play-with-bot',
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'board_size': 3,
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'battle_mode': 'play_with_bot_mode',
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'bot_action_type': 'v0',
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'channel_last': False,
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'collector_env_num': 8,
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'evaluator_env_num': 5,
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'n_evaluator_episode': 5,
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'manager': {
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'shared_memory': False
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},
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'agent_vs_human': False,
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'prob_random_agent': 0,
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'prob_expert_agent': 0,
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'scale': True,
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'alphazero_mcts_ctree': False,
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'save_replay_gif': False,
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'replay_path_gif': './replay_gif'
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},
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'policy': {
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'on_policy': False,
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'cuda': True,
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'multi_gpu': False,
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'bp_update_sync': True,
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'traj_len_inf': False,
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'model': {
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'observation_shape': [3, 3, 3],
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'action_space_size': 9,
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'num_res_blocks': 1,
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'num_channels': 16,
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'fc_value_layers': [8],
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'fc_policy_layers': [8]
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},
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'torch_compile': False,
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'tensor_float_32': False,
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'sampled_algo': False,
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'gumbel_algo': False,
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'update_per_collect': 50,
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'model_update_ratio': 0.1,
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'batch_size': 256,
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'optim_type': 'Adam',
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'learning_rate': 0.003,
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'weight_decay': 0.0001,
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'momentum': 0.9,
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'grad_clip_value': 0.5,
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'value_weight': 1.0,
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'collector_env_num': 8,
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'evaluator_env_num': 5,
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'lr_piecewise_constant_decay': False,
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'threshold_training_steps_for_final_lr': 500000,
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'manual_temperature_decay': False,
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'threshold_training_steps_for_final_temperature': 100000,
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'fixed_temperature_value': 0.25,
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'mcts': {
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'num_simulations': 25
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},
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'other': {
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'replay_buffer': {
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'replay_buffer_size': 1000000,
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'save_episode': False
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}
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},
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'cfg_type': 'AlphaZeroPolicyDict',
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'mcts_ctree': False,
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'simulation_env_name': 'tictactoe',
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'simulation_env_config_type': 'play_with_bot',
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'board_size': 3,
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'entropy_weight': 0.0,
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'n_episode': 8,
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'eval_freq': 2000
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},
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'wandb_logger': {
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'gradient_logger': False,
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'video_logger': False,
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'plot_logger': False,
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'action_logger': False,
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'return_logger': False
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}
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},
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'create_config': {
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'env': {
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'type': 'tictactoe',
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'import_names': ['zoo.board_games.tictactoe.envs.tictactoe_env']
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},
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'env_manager': {
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'type': 'subprocess'
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},
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'policy': {
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'type': 'alphazero',
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'import_names': ['lzero.policy.alphazero']
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},
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'collector': {
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'type': 'episode_alphazero',
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'import_names': ['lzero.worker.alphazero_collector']
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},
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'evaluator': {
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'type': 'alphazero',
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'import_names': ['lzero.worker.alphazero_evaluator']
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}
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}
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}
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