Browse Source

re-init evalCallback and save final model

Disabled eval logging to csv explicitely in the library, as this is
causing issues with the final progess*.csv
refactoring
sp 10 months ago
parent
commit
3f032dd8b3
  1. 17
      examples/shields/rl/13_minigridsb.py

17
examples/shields/rl/13_minigridsb.py

@ -89,21 +89,8 @@ def main():
imageAndVideoCallback = ImageRecorderCallback(eval_env, render_freq, n_eval_episodes=1, evaluation_method=evaluate_policy, log_dir=log_dir, deterministic=True, verbose=0)
model.learn(steps,callback=[imageAndVideoCallback, InfoCallback()])
#vec_env = model.get_env()
#obs = vec_env.reset()
#terminated = truncated = False
#while not terminated and not truncated:
# action_masks = None
# action, _states = model.predict(obs, action_masks=action_masks)
# print(action)
# obs, reward, terminated, truncated, info = env.step(action)
# # action, _states = model.predict(obs, deterministic=True)
# # obs, rewards, dones, info = vec_env.step(action)
# vec_env.render("human")
# time.sleep(0.2)
model.learn(steps,callback=[imageAndVideoCallback, InfoCallback(), evalCallback])
model.save(f"{log_dir}/{expname(args)}")
if __name__ == '__main__':

Loading…
Cancel
Save