universe

I was also wondering about this. There are two issues in OpenAI's GitHub repo related to the removal, with not much information: - https://github.com/openai/universe/issues/126 - https://github.com/openai/universe/issues/160

DARPA/IARPA now invests in search 2.0: Instead of asking it to retrieve stored information, you can instruct an agent/search bot to perform tasks for you. For instance, one should be able to search for: "who is the leader of this IRC hacker group?" "where can heroine be bought on the deep web?" "Is there women trafficking going on behind that log-in wall?" and then an intelligent agent is dispatched, avoiding/crossing roadblocks, like log-in forms, and will eventually bring you the answer. Coursera has more on the basics, like: https://www.coursera.org/learn/text-retrieval OpenAI has more on the current happenings of creating more intelligent search bots: https://github.com/openai/universe Other possible future research areas in information retrieval include being able to search for services ("Where is cheapest taxi service for current lo

Something perfect here is OpenAI's Universe [1] enabling you to strap on a uniform AI interface to your project. Here [2] is there systems page for further information/support. [1] https://github.com/openai/universe [2] https://openai.com/systems/

By Blizzard you mean Rockstar? edit: An issue was opened[0] but there has been no response. I find it hard to believe a C&D comes with a gag order but IANAL. I find it frustrating there's no transparency on this, and I hope I'm not being overly dramatic, but I would have expected more openness here. There could be a very reasonable explanation for keeping mum on this, I guess. [0] https://github.com/openai/universe/issues/126

It looks like the image from the server and control information to the server is sent through the VNC protocol. Other information such as the reward signal from the environment server is sent through a WebSockets protocol using JSON: https://github.com/openai/universe/blob/master/doc/protocols... You should be able to implement this protocol for your environment and run a VNC server for the rest. A new class for the client representing your environment can be based on this: https://github.com/openai/universe/blob/master/universe/envs... Then register the class with OpenAI Gym: https://github.com/openai/universe/blob/master/universe/__in... After creating the environment using gym.make you need to add information about your remote in the call to configure: env = gym.make('gtav.SaneDriving-v0') env.configure(remotes="vnc://localhost:vnc_por