Upload policy_config.py with huggingface_hub
Browse files- policy_config.py +118 -0
policy_config.py
ADDED
|
@@ -0,0 +1,118 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
exp_config = {
|
| 2 |
+
'main_config': {
|
| 3 |
+
'exp_name': 'MsPacmanNoFrameskip-v4-SampledEfficientZero',
|
| 4 |
+
'seed': 0,
|
| 5 |
+
'env': {
|
| 6 |
+
'env_id': 'MsPacmanNoFrameskip-v4',
|
| 7 |
+
'env_name': 'MsPacmanNoFrameskip-v4',
|
| 8 |
+
'obs_shape': [4, 96, 96],
|
| 9 |
+
'collector_env_num': 8,
|
| 10 |
+
'evaluator_env_num': 3,
|
| 11 |
+
'n_evaluator_episode': 3,
|
| 12 |
+
'manager': {
|
| 13 |
+
'shared_memory': False
|
| 14 |
+
}
|
| 15 |
+
},
|
| 16 |
+
'policy': {
|
| 17 |
+
'on_policy': False,
|
| 18 |
+
'cuda': True,
|
| 19 |
+
'multi_gpu': False,
|
| 20 |
+
'bp_update_sync': True,
|
| 21 |
+
'traj_len_inf': False,
|
| 22 |
+
'model': {
|
| 23 |
+
'observation_shape': [4, 96, 96],
|
| 24 |
+
'frame_stack_num': 4,
|
| 25 |
+
'action_space_size': 9,
|
| 26 |
+
'downsample': True,
|
| 27 |
+
'continuous_action_space': False,
|
| 28 |
+
'num_of_sampled_actions': 5,
|
| 29 |
+
'discrete_action_encoding_type': 'one_hot',
|
| 30 |
+
'norm_type': 'BN'
|
| 31 |
+
},
|
| 32 |
+
'use_rnd_model': False,
|
| 33 |
+
'sampled_algo': True,
|
| 34 |
+
'gumbel_algo': False,
|
| 35 |
+
'mcts_ctree': True,
|
| 36 |
+
'collector_env_num': 8,
|
| 37 |
+
'evaluator_env_num': 3,
|
| 38 |
+
'env_type': 'not_board_games',
|
| 39 |
+
'action_type': 'fixed_action_space',
|
| 40 |
+
'battle_mode': 'play_with_bot_mode',
|
| 41 |
+
'monitor_extra_statistics': True,
|
| 42 |
+
'game_segment_length': 400,
|
| 43 |
+
'transform2string': False,
|
| 44 |
+
'gray_scale': False,
|
| 45 |
+
'use_augmentation': True,
|
| 46 |
+
'augmentation': ['shift', 'intensity'],
|
| 47 |
+
'ignore_done': False,
|
| 48 |
+
'update_per_collect': 1000,
|
| 49 |
+
'model_update_ratio': 0.1,
|
| 50 |
+
'batch_size': 256,
|
| 51 |
+
'optim_type': 'SGD',
|
| 52 |
+
'learning_rate': 0.2,
|
| 53 |
+
'target_update_freq': 100,
|
| 54 |
+
'target_update_freq_for_intrinsic_reward': 1000,
|
| 55 |
+
'weight_decay': 0.0001,
|
| 56 |
+
'momentum': 0.9,
|
| 57 |
+
'grad_clip_value': 10,
|
| 58 |
+
'n_episode': 8,
|
| 59 |
+
'num_simulations': 50,
|
| 60 |
+
'discount_factor': 0.997,
|
| 61 |
+
'td_steps': 5,
|
| 62 |
+
'num_unroll_steps': 5,
|
| 63 |
+
'reward_loss_weight': 1,
|
| 64 |
+
'value_loss_weight': 0.25,
|
| 65 |
+
'policy_loss_weight': 1,
|
| 66 |
+
'policy_entropy_loss_weight': 0,
|
| 67 |
+
'ssl_loss_weight': 2,
|
| 68 |
+
'lr_piecewise_constant_decay': True,
|
| 69 |
+
'threshold_training_steps_for_final_lr': 50000,
|
| 70 |
+
'manual_temperature_decay': False,
|
| 71 |
+
'threshold_training_steps_for_final_temperature': 100000,
|
| 72 |
+
'fixed_temperature_value': 0.25,
|
| 73 |
+
'use_ture_chance_label_in_chance_encoder': False,
|
| 74 |
+
'use_priority': True,
|
| 75 |
+
'priority_prob_alpha': 0.6,
|
| 76 |
+
'priority_prob_beta': 0.4,
|
| 77 |
+
'root_dirichlet_alpha': 0.3,
|
| 78 |
+
'root_noise_weight': 0.25,
|
| 79 |
+
'random_collect_episode_num': 0,
|
| 80 |
+
'eps': {
|
| 81 |
+
'eps_greedy_exploration_in_collect': False,
|
| 82 |
+
'type': 'linear',
|
| 83 |
+
'start': 1.0,
|
| 84 |
+
'end': 0.05,
|
| 85 |
+
'decay': 100000
|
| 86 |
+
},
|
| 87 |
+
'cfg_type': 'SampledEfficientZeroPolicyDict',
|
| 88 |
+
'init_w': 0.003,
|
| 89 |
+
'normalize_prob_of_sampled_actions': False,
|
| 90 |
+
'policy_loss_type': 'cross_entropy',
|
| 91 |
+
'lstm_horizon_len': 5,
|
| 92 |
+
'cos_lr_scheduler': False,
|
| 93 |
+
'reanalyze_ratio': 0.0,
|
| 94 |
+
'eval_freq': 2000,
|
| 95 |
+
'replay_buffer_size': 1000000
|
| 96 |
+
},
|
| 97 |
+
'wandb_logger': {
|
| 98 |
+
'gradient_logger': False,
|
| 99 |
+
'video_logger': False,
|
| 100 |
+
'plot_logger': False,
|
| 101 |
+
'action_logger': False,
|
| 102 |
+
'return_logger': False
|
| 103 |
+
}
|
| 104 |
+
},
|
| 105 |
+
'create_config': {
|
| 106 |
+
'env': {
|
| 107 |
+
'type': 'atari_lightzero',
|
| 108 |
+
'import_names': ['zoo.atari.envs.atari_lightzero_env']
|
| 109 |
+
},
|
| 110 |
+
'env_manager': {
|
| 111 |
+
'type': 'subprocess'
|
| 112 |
+
},
|
| 113 |
+
'policy': {
|
| 114 |
+
'type': 'sampled_efficientzero',
|
| 115 |
+
'import_names': ['lzero.policy.sampled_efficientzero']
|
| 116 |
+
}
|
| 117 |
+
}
|
| 118 |
+
}
|