QMIX¶
- 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)