Building AI systems that learn through trial and error.

Reinforcement Learning develops AI systems that learn optimal behaviors through trial and error, ideal for applications like robotics, gaming, and resource optimization. Using frameworks like OpenAI Gym, it enables dynamic decision-making in complex, unpredictable environments.

• Learns optimal actions in dynamic environments.
• Ideal for robotics, gaming, and optimization.
• Scalable with reinforcement learning frameworks.
• Supports complex decision-making tasks.
• Drives innovation in autonomous systems.