Call for Papers

On April 13th, 2019, OpenAI Five became the first AI system to defeat the world champions at an esports game. The game of Dota 2 presents novel challenges for AI systems such as long time horizons, imperfect information, and complex, continuous state-action spaces, all challenges that will become increasingly central to more capable AI systems.

Reinforcement learning has been a branch of machine learning with a lot of potential that has not materialized. It has proven instrumental in games where the environment is well-defined and can be simulated without cost. The real world does not offer these benefits. However, RLHF was a key component in making ChatGPT a success.

It is important to understand RL fundamentals to create systems that can continually improve from online feedback. I will cover through this paper -

1. the philosophy or RL
2. the challenge and importance of rewarding engineering
3. The role of distributed training and Ray in making RL viable

https://arxiv.org/abs/1912.06680