Lightning Talks: Beyond Static: Building Adaptive Systems with Reinforcement Learning using Java

Imagine a Java application that evolves with new challenges, learns from its experiences, and continuously adjusts its behavior to enhance performance. While this may sound futuristic, it’s the reality of reinforcement learning in Java.
In today’s fast-paced technological landscape, the need for software that can learn and adapt is growing across industries. Reinforcement learning (RL) provides a framework for developing intelligent, self-improving systems. Java, with its widespread use in enterprise environments, offers a solid foundation for implementing RL algorithms, thanks to its object-oriented structure, rich libraries, and strong community support.
This presentation explores how to leverage reinforcement learning within Java applications to optimize resource allocation, enhance decision-making processes, and build more adaptive, responsive systems. Discover the potential of RL in Java to unlock new levels of application performance and scalability.