Learn More Reinforcement learning (RL) is a powerful type of artificial intelligence technology that can be used to learn strategies to optimally control ... in other words, it is very difficult ...

Scalable RL has numerous applications in network control, including: The future of scalable reinforcement learning in network control is promising: Continued advancements in AI and machine ...

During training, the control software performed the ... for the equipment in a data center. Reinforcement learning copies a very simple principle from nature. The psychologist Edward Thorndike ...

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on ...

Lehigh University's research advances aerial robotics, enabling drones to adapt to unpredictable materials, enhancing safety ...

Reinforcement learning is a fundamental process by which organisms learn to achieve goals from their interactions with the environment. Using Evolutionary Computation techniques we evolve (near) ...

Robust walking control of a lower limb rehabilitation exoskeleton coupled with a musculoskeletal model via deep reinforcement learning. Journal of NeuroEngineering and Rehabilitation , 2023; 20 (1 ...