Trends in Reinforcement Learning with Pablo Samuel Castro - #443
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
00:00
Advancements in Reinforcement Learning
This chapter explores the development of a reinforcement learning controller tailored for real-world applications, highlighting key design decisions and evaluation techniques. The discussion incorporates emerging tools like JAX and B Suite, alongside speculations on future advancements in deep RL and decentralized decision-making. Additionally, the speakers critique existing theories, emphasizing the evolution of ideas within the reinforcement learning landscape.
Transcript
Play full episode
