Reinforcement Learning Applications

Lukas and Robert discuss the current status of reinforcement learning in industry, highlighting its successes in optimizing supply chains, operations, financial applications, and recommendation systems. Robert emphasizes Ray's role in enabling developers to build scalable distributed systems efficiently, potentially even replacing Spark in the future.