Question

class QMIX(agent_model, qmixer_model, double_q=True, gamma=0.99, lr=0.0005, clip_grad_norm=None)[源代码]¶

基类：Algorithm

__init__(agent_model, qmixer_model, double_q=True, gamma=0.99, lr=0.0005, clip_grad_norm=None)[源代码]¶

QMIX algorithm

参数:

• agent_model (parl.Model) – agents’ local q network for decision making.

• qmixer_model (parl.Model) – A mixing network which takes local q values as input to construct a global Q network.

• double_q (bool) – Double-DQN.

• gamma (float) – discounted factor for reward computation.

• lr (float) – learning rate.

• clip_grad_norm (None, or float) – clipped value of gradients’ global norm.

learn(state_batch, actions_batch, reward_batch, terminated_batch, obs_batch, available_actions_batch, filled_batch)[源代码]¶

参数:

• state_batch (paddle.Tensor) – (batch_size, T, state_shape)

• actions_batch (paddle.Tensor) – (batch_size, T, n_agents)

• reward_batch (paddle.Tensor) – (batch_size, T, 1)

• terminated_batch (paddle.Tensor) – (batch_size, T, 1)

• obs_batch (paddle.Tensor) – (batch_size, T, n_agents, obs_shape)

• available_actions_batch (paddle.Tensor) – (batch_size, T, n_agents, n_actions)

• filled_batch (paddle.Tensor) – (batch_size, T, 1)

返回:

train loss td_error (float): train TD error

返回类型:

loss (float)