From 919086f9419e2e77518f1f780de6d28667517a4c Mon Sep 17 00:00:00 2001 From: dnddnjs Date: Wed, 18 Jul 2018 23:42:38 +0900 Subject: [PATCH] edit model and training options --- unity/agent/ppo2.py | 4 +++- unity/env/unity-environment.log | 2 +- unity/hparams.py | 14 +++++++------- unity/main.py | 11 +++++++++-- unity/model.py | 21 +++++++++++---------- unity/save_model/actor1 | Bin 95942 -> 102480 bytes unity/save_model/critic1 | Bin 75305 -> 75318 bytes 7 files changed, 31 insertions(+), 21 deletions(-) diff --git a/unity/agent/ppo2.py b/unity/agent/ppo2.py index d6334ac..02a990e 100644 --- a/unity/agent/ppo2.py +++ b/unity/agent/ppo2.py @@ -77,7 +77,9 @@ def train_model(actor, critic, memory, actor_optim, critic_optim): values = critic(inputs) clipped_values = oldvalue_samples + \ - torch.clamp(values - oldvalue_samples, -0.2, 0.2) + torch.clamp(values - oldvalue_samples, + -hp.clip_param, + hp.clip_param) critic_loss1 = criterion(clipped_values, returns_samples) critic_loss2 = criterion(values, returns_samples) critic_loss = torch.max(critic_loss1, critic_loss2).mean() diff --git a/unity/env/unity-environment.log b/unity/env/unity-environment.log index e96ca8a..9818fc5 100644 --- a/unity/env/unity-environment.log +++ b/unity/env/unity-environment.log @@ -1,2 +1,2 @@ -7/15/2018 2:07:23 PM +7/18/2018 11:17:24 PM diff --git a/unity/hparams.py b/unity/hparams.py index 5b17bc3..a67477a 100644 --- a/unity/hparams.py +++ b/unity/hparams.py @@ -1,10 +1,10 @@ class HyperParams: - gamma = 0.99 - lamda = 0.98 - hidden = 64 - critic_lr = 0.0003 - actor_lr = 0.0003 - batch_size = 64 + gamma = 0.995 + lamda = 0.95 + hidden = 512 + critic_lr = 0.0001 + actor_lr = 0.0001 + batch_size = 1024 l2_rate = 0.001 max_kl = 0.01 - clip_param = 0.2 + clip_param = 0.1 diff --git a/unity/main.py b/unity/main.py index d5b8e76..d4f31ea 100644 --- a/unity/main.py +++ b/unity/main.py @@ -11,6 +11,7 @@ parser = argparse.ArgumentParser() parser.add_argument('--render', default=False) +parser.add_argument('--load_model', default=None) args = parser.parse_args() @@ -23,6 +24,7 @@ env = UnityEnvironment(file_name=env_name) + # setting for unity ml-agent default_brain = env.brain_names[0] brain = env.brains[default_brain] @@ -34,13 +36,17 @@ actor = Actor(num_inputs, num_actions) critic = Critic(num_inputs) - # actor = torch.load('save_model/actor') - # critic = torch.load('save_model/critic') + + if args.load_model is not None: + model_path = args.load_model + actor = torch.load(model_path + '/actor') + critic = torch.load(model_path + '/critic') actor_optim = optim.Adam(actor.parameters(), lr=hp.actor_lr) critic_optim = optim.Adam(critic.parameters(), lr=hp.critic_lr, weight_decay=hp.l2_rate) + # running average of state running_state = ZFilter((num_inputs,), clip=5) episodes = 0 for iter in range(10000): @@ -55,6 +61,7 @@ state = env_info.vector_observations[0] state = running_state(state) score = 0 + for _ in range(10000): steps += 1 mu, std, _ = actor(torch.Tensor(state).unsqueeze(0)) diff --git a/unity/model.py b/unity/model.py index 58d8c49..86ebe17 100644 --- a/unity/model.py +++ b/unity/model.py @@ -1,7 +1,7 @@ import torch import torch.nn as nn import torch.nn.functional as F -from hparams import HyperParams as hp +from mujoco.hparams import HyperParams as hp class Actor(nn.Module): @@ -11,20 +11,21 @@ def __init__(self, num_inputs, num_outputs): super(Actor, self).__init__() self.fc1 = nn.Linear(num_inputs, hp.hidden) self.fc2 = nn.Linear(hp.hidden, hp.hidden) - self.fc3 = nn.Linear(hp.hidden, num_outputs) + self.fc3 = nn.Linear(hp.hidden, hp.hidden) self.fc4 = nn.Linear(hp.hidden, num_outputs) - self.fc3.weight.data.mul_(0.1) - self.fc3.bias.data.mul_(0.0) - - self.fc4.weight.data.mul_(0.0) + self.fc4.weight.data.mul_(0.1) self.fc4.bias.data.mul_(0.0) def forward(self, x): - x = F.tanh(self.fc1(x)) - x = F.tanh(self.fc2(x)) - mu = self.fc3(x) - logstd = self.fc4(x) + x = self.fc1(x) + x = x * F.sigmoid(x) + x = 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