AI Learns to Play Street Fighter and Mortal Kombat (reinforcement learning)
Proximal Policy Optimization (PPO) is a more advanced type of reinforcement learning algorithm developed by Schulman et al. It's used to train an agent to play many of the games, though it takes a while and is much faster with a GPU. The Brute is a simple but effective reinforcement learning algorithm that works on deterministic environments like Gym Retro games.
Watch an epic clash between PPO and The Brute in classic fighting games. Who will emerge victorious?
The Brute: https://arxiv.org/pdf/1709.06009.pdf
PPO: https://arxiv.org/pdf/1707.06347.pdf
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