Openai gym environment for multi-agent games

Yes, it is possible to use OpenAI gym environments for multi-agent games. Although in the OpenAI gym community there is no standardized interface for multi-agent environments, it is easy enough to build an OpenAI gym that supports this. For instance, in OpenAI’s recent work on multi-agent particle environments they make a multi-agent environment that inherits … Read more

OpenAI Gym: Understanding `action_space` notation (spaces.Box)

Box means that you are dealing with real valued quantities. The first array np.array([-1,0,0] are the lowest accepted values, and the second np.array([+1,+1,+1]) are the highest accepted values. In this case (using the comment) we see that we have 3 available actions: Steering: Real valued in [-1, 1] Gas: Real valued in [0, 1] Brake: … Read more