ExponentialLR

ExponentialLR(
   optimizer, gamma, last_epoch = -1, verbose = False
)

---

Decays the learning rate of each parameter group by gamma every epoch. When last_epoch=-1, sets initial lr as lr.

Args

• optimizer (Optimizer) : Wrapped optimizer.
• gamma (float) : Multiplicative factor of learning rate decay.
• last_epoch (int) : The index of last epoch. Default: -1.
• verbose (bool) : If True, prints a message to stdout for each update. Default: False.

Methods:

.get_lr

.get_lr()

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.