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 the ...

Interview with the creators of InstructGPT, one of the first major applications of reinforcement learning with human feedback (RLHF) to train large language models that influenced subsequent LLM ...

A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of ...

Reinforcement learning is the subset of ML by which an algorithm can be programmed to respond to complex environments for optimal results.

Deep reinforcement learning is having a superstar moment. Powering smarter robots. Simulating human neural networks. Trouncing physicians at medical diagnoses and crushing humanity’s best gamers at Go ...

A Collins, L Thomas, Comparing reinforcement learning approaches for solving game theoretic models: a dynamic airline pricing game example, The Journal of the Operational Research Society, Vol. 63, No ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Supervised learning is a more commonly used form of machine learning than ...