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https://github.com/wassname/DeepRL.git
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Support gym robotics
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@@ -157,6 +157,33 @@ class DMControl(BasicTask):
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mkdir(log_dir)
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self.env = Monitor(self.env, '%s/%s' % (log_dir, uuid.uuid1()))
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class GymRobotics(BasicTask):
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def __init__(self, name, log_dir=None):
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BasicTask.__init__(self)
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self.name = name
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self.env = gym.make(name)
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self.action_dim = self.env.action_space.shape[0]
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self.state_dim = len(self.flatten_state(self.env.reset()))
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if log_dir is not None:
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mkdir(log_dir)
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self.env = Monitor(self.env, '%s/%s' % (log_dir, uuid.uuid1()))
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def flatten_state(self, state):
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flat = []
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for key, value in state.items():
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flat.append(state[key])
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flat = np.concatenate(flat, axis=0)
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return flat
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def reset(self):
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return self.flatten_state(self.env.reset())
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def step(self, action):
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next_state, reward, done, _ = self.env.step(action)
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return self.flatten_state(next_state), reward, done, _
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def sub_task(parent_pipe, pipe, task_fn, rank, log_dir):
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np.random.seed()
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seed = np.random.randint(0, sys.maxsize)
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