ca907342507c1139696f542de0a3351d7a382eee,reinforcement_learning/reinforce.py,,,#,77

Before Change

        state, reward, done, _ = env.step(action)
        if args.render:
            env.render()
        policy.rewards.append(reward)
        if done:
            break

    running_reward = running_reward * 0.99 + t * 0.01

After Change

if __name__ == "__main__":
    main()

Instances