e08f71bf13a17b383cace9fda9b8a7d4ccb2b173,tensorforce/examples/openai_gym2.py,,main,#,37

Before Change

        environment.gym.monitor.start(args.monitor)
        environment.gym.monitor.configure(video_callable=lambda count: False)  // count % 500 == 0)

    runner = AsyncRunner(vars(args), agent=agent, environment=environment, preprocessor=stack)
    runner.run(episode_finished=episode_finished)

    if args.monitor:

After Change

    environments = [OpenAIGymEnvironment(args.gym_id), OpenAIGymEnvironment(args.gym_id), OpenAIGymEnvironment(args.gym_id)]

    config = Config({
        "actions": environments[0].actions,
        "action_shape": environments[0].action_shape,
        "state_shape": environments[0].state_shape
    })
    if args.agent_config:
        config.read_json(args.agent_config)
    if args.network_config:

Instances