Param mixup in A2C
tobiasmerkt opened this issue · comments
In A2C Create Model, you mixed up the two params:
self.optimizer_policy = opt.Adam(critic_params, lr=self.lr_policy)
self.optimizer_value = opt.Adam(actor_params, lr=self.lr_value)
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
tobiasmerkt opened this issue · comments
In A2C Create Model, you mixed up the two params:
self.optimizer_policy = opt.Adam(critic_params, lr=self.lr_policy)
self.optimizer_value = opt.Adam(actor_params, lr=self.lr_value)