Navigating the Safety Tightrope: A Deep Dive into Constraint Formulations in Safe Reinforcement Learning
Reinforcement Learning (RL) – it’s the buzzword that paints a future of intelligent agents learning to conquer complex tasks, from self-driving cars to sophisticated robotics. But here’s the catch: in the real world, “learning” can sometimes mean “making mistakes,” and those mistakes can be incredibly costly, even dangerous. That’s where Safe Reinforcement Learning (Safe RL)
