TD3¶
- class TD3(model, gamma=None, tau=None, actor_lr=None, critic_lr=None, policy_noise=0.2, noise_clip=0.5, policy_freq=2)[源代码]¶
基类:
Algorithm
- __init__(model, gamma=None, tau=None, actor_lr=None, critic_lr=None, policy_noise=0.2, noise_clip=0.5, policy_freq=2)[源代码]¶
TD3 algorithm
- 参数:
model (parl.Model) – forward network of actor and critic.
gamma (float) – discounted factor for reward computation
tau (float) – decay coefficient when updating the weights of self.target_model with self.model
actor_lr (float) – learning rate of the actor model
critic_lr (float) – learning rate of the critic model
policy_noise (float) – noise added to target policy during critic update
noise_clip (float) – range to clip target policy noise
policy_freq (int) – frequency of delayed policy updates