A beginner’s guide to reinforcement learning

Reinforcement learning is one of the most exciting collections of techniques for building self-learning systems. Over the past five years, we’ve seen RL successfully meet such challenges as exceeding human performance on popular video games and board games. Despite the excitement around the success of these RL agents, it has remained extraordinarily difficult for most people to get in on the action and build their own RL agents.

In this webinar, Microsoft researcher Kristian Holsheimer guides you through the landscape of RL agents and shows you how to build your own custom agent in just a few lines of code and without breaking a sweat.

Together, you’ll explore:

• An overview and taxonomy of RL agents
• The RL framework coax, which provides modular API for building custom RL agents
• How you can run your own Proximal Policy Optimization (PPO) agent that learns to play popular games

*This on-demand webinar features a previously recorded Q&A session and open captioning.

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