Reinforcement Learning
Why Sim-to-Real Transfer is the Bottleneck in Industrial RL (And How to Fix It)
The gap between simulation training and real-world deployment kills more RL projects than any algorithm choice. A four-phase framework for crossing it reliably — with case studies from biotech and industrial robotics.
In Progress
Reward Shaping Without Reward Hacking: A Practitioner's Framework
In Progress
When to Use RL vs. Classical Optimization: The Decision Guide VPs Actually Need
Planned
Multi-Agent RL in Production: Coordination, Emergent Behavior, and Failure Modes

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