Building game bots using OpenAIs Gym and Universe
Anmol Jagetia explains how to use OpenAI's Gym and Universe to design bots that can become extremely smart using reinforcement learning. You'll create a bot that uses reinforcement learning to beat games and learn how to reuse code to beat a set of games that includes Atari classics (Pac-Man or Pong), a Candy Crush clone, and a racing game.
| Talk Title | Building game bots using OpenAIs Gym and Universe |
| Speakers | Anmol Jagetia (Media.net) |
| Conference | O’Reilly Artificial Intelligence Conference |
| Conf Tag | Put AI to Work |
| Location | New York, New York |
| Date | June 27-29, 2017 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Back in the day, AI was dominated by people from academia or engineers at top companies and required higher mathematics and PhDs to make an impact. With the recent popularization of AI and its introduction to a wider audience, and with the introduction of awesome tools like Gym and Universe, the barrier to entry has been greatly reduced. You just need some cool ideas and a basic familiarity with some coding, and you can dive right in. Anmol Jagetia explains how to use OpenAI’s Gym and Universe to design bots that can become extremely smart using reinforcement learning. You’ll create a bot that uses reinforcement learning to beat games and learn how to reuse code to beat a set of games that includes Atari classics (Pac-Man or Pong), a Candy Crush clone, and a racing game.
