Ram Atari

This commit is contained in:
Shangtong Zhang
2018-02-19 13:55:57 -07:00
parent 6de8062702
commit a907dac0bb
3 changed files with 65 additions and 4 deletions
+23 -2
View File
@@ -108,6 +108,27 @@ class MaxAndSkipEnv(gym.Wrapper):
self._obs_buffer.append(obs)
return obs
class SkipEnv(gym.Wrapper):
def __init__(self, env=None, skip=4):
"""Return only every `skip`-th frame"""
super(SkipEnv, self).__init__(env)
self._skip = skip
def step(self, action):
total_reward = 0.0
done = None
for _ in range(self._skip):
obs, reward, done, info = self.env.step(action)
total_reward += reward
if done:
break
return obs, total_reward, done, info
def reset(self):
obs = self.env.reset()
return obs
class DatasetEnv(gym.Wrapper):
def __init__(self, env=None):
super(DatasetEnv, self).__init__(env)
@@ -174,10 +195,10 @@ class StackFrame(gym.Wrapper):
def reset(self):
state = self.env.reset()
self.buffer = [state] * self.history_length
return np.vstack(self.buffer)
return np.asarray(np.vstack(self.buffer))
def step(self, action):
state, reward, done, info = self.env.step(action)
self.buffer.pop(0)
self.buffer.append(state)
return np.vstack(self.buffer), reward, done, info
return np.asarray(np.vstack(self.buffer)), reward, done, info
+17
View File
@@ -73,6 +73,23 @@ class PixelAtari(BasicTask):
def normalize_state(self, state):
return np.asarray(state) / 255.0
class RamAtari(BasicTask):
def __init__(self, name, no_op, frame_skip, max_steps=10000):
BasicTask.__init__(self, max_steps)
self.name = name
env = gym.make(name)
assert 'NoFrameskip' in env.spec.id
env = EpisodicLifeEnv(env)
env = NoopResetEnv(env, noop_max=no_op)
env = SkipEnv(env, skip=frame_skip)
if 'FIRE' in env.unwrapped.get_action_meanings():
env = FireResetEnv(env)
self.env = env
self.action_dim = self.env.action_space.n
def normalize_state(self, state):
return np.asarray(state) / 255.0
class ContinuousMountainCar(BasicTask):
name = 'MountainCarContinuous-v0'
success_threshold = 90
+25 -2
View File
@@ -114,6 +114,27 @@ def dqn_pixel_atari(name):
config.double_q = False
run_episodes(DQNAgent(config))
def dqn_ram_atari(name):
config = Config()
config.history_length = 1
config.task_fn = lambda: RamAtari(name, no_op=30, frame_skip=4)
action_dim = config.task_fn().action_dim
config.optimizer_fn = lambda params: torch.optim.RMSprop(params, lr=0.00025, alpha=0.95, eps=0.01)
config.network_fn = lambda: FCNet([128, 64, 64, action_dim], gpu=2)
config.policy_fn = lambda: GreedyPolicy(epsilon=0.1, final_step=1000000, min_epsilon=0.1)
config.replay_fn = lambda: Replay(memory_size=100000, batch_size=32, dtype=np.uint8)
config.reward_shift_fn = lambda r: np.sign(r)
config.discount = 0.99
config.target_network_update_freq = 10000
config.max_episode_length = 0
config.exploration_steps= 100
config.logger = Logger('./log', logger)
config.test_interval = 0
config.test_repetitions = 10
config.double_q = True
# config.double_q = False
run_episodes(DQNAgent(config))
def async_pixel_atari(name):
config = Config()
config.history_length = 1
@@ -322,7 +343,7 @@ if __name__ == '__main__':
# logger.setLevel(logging.DEBUG)
logger.setLevel(logging.INFO)
# dqn_cart_pole()
dqn_cart_pole()
# async_cart_pole()
# a3c_cart_pole()
# a2c_cart_pole()
@@ -334,11 +355,13 @@ if __name__ == '__main__':
# dqn_pixel_atari('PongNoFrameskip-v4')
# async_pixel_atari('PongNoFrameskip-v4')
# a3c_pixel_atari('PongNoFrameskip-v4')
a2c_pixel_atari('PongNoFrameskip-v4')
# a2c_pixel_atari('PongNoFrameskip-v4')
# dqn_pixel_atari('BreakoutNoFrameskip-v4')
# async_pixel_atari('BreakoutNoFrameskip-v4')
# a3c_pixel_atari('BreakoutNoFrameskip-v4')
dqn_ram_atari('Pong-ramNoFrameskip-v4')
# acvp.train('PongNoFrameskip-v4')