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config.json
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config.json
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{
"a3c": {
"server_ip": "localhost",
"server_port": 8000,
"num_actors": 20,
"env": [
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4"],
"available_action": [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4],
"discount_factor": 0.997,
"model_input": [84, 84, 4],
"model_output": 4,
"queue_size": 128,
"batch_size": 16,
"trajectory": 32,
"baseline_loss_coef": 1.0,
"entropy_coef": 0.05,
"reward_clipping": "abs_one",
"start_learning_rate": 1e-4,
"end_learning_rate": 0.0,
"learning_frame": 1000000000,
"gradient_clip_norm": 40.0
},
"r2d2": {
"server_ip": "localhost",
"server_port": 8000,
"num_actors": 40,
"env": [
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4"],
"available_action": [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4],
"discount_factor": 0.997,
"model_input": [84, 84, 1],
"model_output": 4,
"queue_size": 128,
"lstm_size": 64,
"batch_size": 16,
"seq_len": 15,
"burn_in": 7,
"reward_clipping": "abs_one",
"start_learning_rate": 1e-4,
"end_learning_rate": 0.0,
"learning_frame": 1000000000,
"gradient_clip_norm": 40.0
},
"impala":
{
"server_ip": "localhost",
"server_port": 8000,
"num_actors": 20,
"env": [
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4",
"StarGunnerDeterministic-v4"],
"available_action": [18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18],
"batch_size": 32,
"queue_size": 128,
"discount_factor": 0.99,
"model_input": [84, 84, 4],
"model_output": 18,
"reward_clipping": "abs_one",
"trajectory": 20,
"lstm_size": 256,
"start_learning_rate": 0.0006,
"end_learning_rate": 0.0,
"learning_frame": 1000000000,
"entropy_coef": 0.05,
"baseline_loss_coef": 1.0,
"gradient_clip_norm": 40.0,
"optimization_method": "impala"
},
"apex": {
"server_ip": "localhost",
"server_port": 8000,
"num_actors": 20,
"env": [
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4",
"BreakoutDeterministic-v4"],
"available_action": [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4],
"batch_size": 32,
"queue_size": 32,
"model_input": [84, 84, 4],
"model_output": 4,
"reward_clipping": "abs_one",
"trajectory": 32,
"start_learning_rate": 1e-4,
"end_learning_rate": 0.0,
"learning_frame": 100000000000000,
"gradient_clip_norm": 40.0,
"discount_factor": 0.99,
"optimization_method": "apex"
}
}