In the 22nd episode of the StackToHeap podcast, we talk with Raju Kandaswamy from ThoughtWorks about his experience with Reinforcement Learning (RL), XR (eXtended Reality) and Robotics.  
We focus on what reinforcement learning is, how it fits in the overall ML landscape and what the practical challenges with RL are.
Raju Kandaswamy on LinkedIn - https://www.linkedin.com/in/rajukandasamy/

In the 22nd episode of the StackToHeap podcast, we talk with Raju Kandaswamy from ThoughtWorks about his experience with Reinforcement Learning (RL), XR (eXtended Reality) and Robotics. We focus on what reinforcement learning is, how it fits in the overall ML landscape and what the practical challenges with RL are. Raju Kandaswamy on LinkedIn - https://www.linkedin.com/in/rajukandasamy/

In the 22nd episode of the StackToHeap podcast, we talk with Raju Kandaswamy from ThoughtWorks about his experience with Reinforcement Learning (RL), XR (eXtended Reality) and Robotics. &nbsp;
We focus on what reinforcement learning is, how it fits in the overall ML landscape and what the practical challenges with RL are.
Raju Kandaswamy on LinkedIn - https://www.linkedin.com/in/rajukandasamy/

How Practical is Reinforcement Learning?

StackToHeap is the podcast where I, Manoj Mahalingam, talk to developers in the Indian region to understand the work they are doing, their learning and the major problems they encounter in the industry.

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How Practical is Reinforcement Learning?

How Practical is Reinforcement Learning?