Basically i need standard Scalar version of the Coinrun env (like a gym env) so i can apply various q-learning algos. (i will be using pytorch not that it matters)
From one of the resolved issue i get my hands on the Scalarise class but the level is not changing for some reason it's saying "CoinRun ignores resets" on the console probably becuase of "env.reset()"
example script (i placed it in train_agent.py):-
def testing():
episodes = 10
env = Scalarize(make('standard', num_envs=1))
for i in range(episodes):
start_state = env.reset()
while True:
env.render()
action = np.random.randint(0, env.action_space.n)
next_state, reward, done, info = env.step(action)
if done or reward > 0:
break
Basically i need standard Scalar version of the Coinrun env (like a gym env) so i can apply various q-learning algos. (i will be using pytorch not that it matters)
From one of the resolved issue i get my hands on the Scalarise class but the level is not changing for some reason it's saying "CoinRun ignores resets" on the console probably becuase of "env.reset()"
example script (i placed it in train_agent.py):-