Reinforcement Learning in Real-World Applications

# Reinforcement Learning in Real-World Applications

Reinforcement learning (RL) has moved beyond game playing to solve complex real-world problems in robotics, finance, and autonomous systems.

## Beyond Games

While RL gained fame through game-playing achievements, its real value lies in solving sequential decision-making problems.

## Practical Applications

We explore successful RL deployments in various industries and the challenges overcome during implementation.

## Conclusion

Reinforcement learning is maturing into a practical tool for solving complex optimization and control problems.