TensorFlow2.0-for-Deep-Reinforcement-Learning

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You have this code when init sigma: `sigma_initializer = tf.constant_initializer(self.std_init / np.sqrt(self.units))` Going into the original paper (section 3.2) I would assume the init to be like this: `sigma_initializer =...

pedrohpf

where do you use "next_state" in def train(self):

1

you get next_state from self.get_n_step_info(self.n_step_buffer, self.gamma), but the next_state is not used. may be self.store_transition(p, obs, action, reward, next_obs, done) should be self.store_transition(p, obs, action, reward, next_state, done).

yoshina621