PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
This was run on the master branch. Help appreciated.
Traceback (most recent call last): File "enjoy.py", line 46, in
allow_early_resets=False)
File "..../pytorch-a2c-ppo-acktr-gail/a2c_ppo_acktr/envs.py", line 99, in make_vec_envs
envs = VecNormalize(envs, ret=False)
File "..../pytorch-a2c-ppo-acktr-gail/a2c_ppo_acktr/envs.py", line 191, in init
super(VecNormalize, self).init(*args, **kwargs)
TypeError: init() got an unexpected keyword argument 'ret'