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config.py
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config = dict({
"LunarLander-v2": {
"DQN": {
"eff_batch_size" : 128,
"eps_decay" : 0.99,
"gamma" : 0.99,
"tau" : 0.005,
"lr" : 0.0005
},
"EnsembleDQN": {
"eff_batch_size" : 64,
"eps_decay" : 0.99,
"gamma" : 0.99,
"tau" : 0.005,
"lr" : 0.0005
},
"BootstrapDQN":{
"eff_batch_size" : 64,
"eps_decay" : 0.99,
"gamma" : 0.99,
"tau" : 0.005,
"lr" : 0.0005,
"mask" : "bernoulli",
"mask_prob" : 0.9,
"prior_scale" : 10
},
"ProbDQN":{
"eff_batch_size" : 256,
"eps_decay" : 0.991,
"gamma" : 0.99,
"tau" : 0.001,
"lr" : 0.0005,
"loss_att_weight" : 2
},
"IV_EnsembleDQN": {
"eff_batch_size" : 64,
"eps_decay" : 0.99,
"gamma" : 0.99,
"tau" : 0.005,
"lr" : 0.0005,
"dynamic_eps" : True,
"minimal_eff_bs" : 48,
},
"IV_BootstrapDQN":{
"eff_batch_size" : 64,
"eps_decay" : 0.99,
"gamma" : 0.99,
"tau" : 0.005,
"lr" : 0.0005,
"dynamic_eps" : True,
"mask" : "bernoulli",
"mask_prob" : 0.5,
"minimal_eff_bs" : 48,
"prior_scale" : 0.1
},
"IV_ProbEnsembleDQN":{
"eff_batch_size" : 64,
"eps_decay" : 0.99,
"gamma" : 0.99,
"tau" : 0.005,
"lr" : 0.001,
"eps" : 10,
"loss_att_weight" : 3
},
"IV_ProbDQN":{
"eff_batch_size" : 256,
"eps_decay" : 0.991,
"gamma" : 0.99,
"tau" : 0.001,
"lr" : 0.0005,
"loss_att_weight" : 2,
"dynamic_eps" : True,
"minimal_eff_bs" : 208
}
},
"MountainCar-v0":{
"DQN":{
"eff_batch_size" : 256,
"lr" : 0.001,
"eps_decay" : 0.98,
"tau" : 0.01
},
"BootstrapDQN":{
"eff_batch_size" : 256,
"lr" : 0.001,
"eps_decay" : 0.98,
"tau" : 0.05,
"mask_prob" : 0.5,
"prior_scale" : 10
},
"SunriseDQN":{
"eff_batch_size" : 256,
"lr" : 0.001,
"eps_decay" : 0.98,
"tau" : 0.05,
"mask_prob" : 0.5,
"prior_scale" : 10,
"sunrise_temp" : 50
},
"IV_DQN":{
"eff_batch_size" : 256,
"lr" : 0.001,
"eps_decay" : 0.98,
"tau" : 0.05,
"mask_prob" : 0.5,
"prior_scale" : 10,
"eps" : 1000
},
"IV_ProbEnsembleDQN":{
"eff_batch_size" : 256,
"lr" : 0.001,
"eps_decay" : 0.98,
"tau" : 0.05,
"mask_prob" : 0.5,
"prior_scale" : 10,
"eps" : 1000
},
},
"gym_cheetah":{
"EnsembleSAC":{
"eff_batch_size" : 1024,
"mask_prob" : 0.9,
"ucb_lambda" : 0
},
"IV_EnsembleSAC":{
"eff_batch_size" : 1024,
"mask_prob" : 0.9,
"ucb_lambda" : 10,
"minimal_eff_bs_ratio" : 0.99,
"dynamic_eps" : True
},
"IV_ProbEnsembleSAC":{
"eff_batch_size" : 1024,
"mask_prob" : 1,
"ucb_lambda" : 0,
"minimal_eff_bs_ratio" : 0.99,
"dynamic_eps" : True,
"loss_att_weight" : 2
},
"IV_SAC":{
"eff_batch_size" : 1024,
"mask_prob" : 1,
"ucb_lambda" : 0,
"minimal_eff_bs_ratio" : 0.99,
"dynamic_eps" : True,
"loss_att_weight" : 2
},
"IV_ProbSAC":{
"loss_att_weight" : 5,
"minimal_eff_bs_ratio" : 0.5
}
},
"gym_walker2d":{
"EnsembleSAC":{
"eff_batch_size" : 512,
"mask_prob" : 1,
"ucb_lambda" : 1
},
"IV_EnsembleSAC":{
"eff_batch_size" : 1024,
"mask_prob" : 0.9,
"ucb_lambda" : 10,
"minimal_eff_bs_ratio" : 0.8,
"dynamic_eps" : True
},
"IV_ProbEnsembleSAC":{
"eff_batch_size" : 1024,
"mask_prob" : 0.9,
"ucb_lambda" : 10,
"minimal_eff_bs_ratio" : 0.8,
"dynamic_eps" : True,
"loss_att_weight" : 5
},
"IV_SAC":{
"eff_batch_size" : 1024,
"mask_prob" : 0.9,
"ucb_lambda" : 10,
"minimal_eff_bs_ratio" : 0.8,
"dynamic_eps" : True,
"loss_att_weight" : 5
},
},
"gym_hopper":{
"EnsembleSAC":{
"eff_batch_size" : 512,
"mask_prob" : 1,
"ucb_lambda" : 10
},
"IV_ProbEnsembleSAC":{
"eff_batch_size" : 1024,
"mask_prob" : 0.7,
"ucb_lambda" : 10,
"minimal_eff_bs_ratio" : 0.8,
"dynamic_eps" : True,
"loss_att_weight" : 10
},
"IV_SAC":{
"eff_batch_size" : 1024,
"mask_prob" : 0.7,
"ucb_lambda" : 10,
"minimal_eff_bs_ratio" : 0.8,
"dynamic_eps" : True,
"loss_att_weight" : 10
},
},
"gym_ant":{
"EnsembleSAC":{
"eff_batch_size" : 512,
"mask_prob" : 0.9,
"ucb_lambda" : 10
},
"IV_ProbEnsembleSAC":{
"eff_batch_size" : 1024,
"mask_prob" : 1,
"ucb_lambda" : 1,
"minimal_eff_bs_ratio" : 0.9,
"dynamic_eps" : True,
"loss_att_weight" : 5
},
"IV_SAC":{
"eff_batch_size" : 1024,
"mask_prob" : 1,
"ucb_lambda" : 1,
"minimal_eff_bs_ratio" : 0.9,
"dynamic_eps" : True,
"loss_att_weight" : 5
},
},
"cartpole":{
"BootstrapDQN":{
"batch_size" : 128,
"mask_prob" : 5
},
"IV_BootstrapDQN":{
"batch_size" : 128,
"mask_prob" : 0.5,
"minimal_eff_bs_ratio" : 0.99
},
"IV_ProbEnsembleDQN":{
"batch_size" : 128,
"mask_prob" : 0.5,
"minimal_eff_bs_ratio" : 0.99,
"loss_att_weight" : 10
},
"IV_BootstrapDQN":{
"batch_size" : 128,
"mask_prob" : 0.5,
"minimal_eff_bs_ratio" : 0.99,
},
"IV_ProbDQN": {
"loss_att_weight" : 0.1,
"minimal_eff_bs_ratio" : 0.7
},
"ProbEnsembleDQN":{
"batch_size" : 128,
"loss_att_weight" : 10,
"mask_prob" : 0.5
}
}
})