Moving beyond the slow, costly trial-and-error of RL, GEPA teaches AI systems to learn and improve using natural language.

What is Reinforcement Learning? At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward.

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 ...

Discover how reinforcement learning is transforming quadruped robots like Spot into agile, adaptable tools for real-world applications.

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

An AI strategy proven adept at board games like Chess and Go, reinforcement learning, has now been adapted for a powerful protein design program. The results show that reinforcement learning can ...

For these problems, the hybrid AI was 63 percent faster at learning a solution compared to traditional reinforcement learning, decreasing its learning effort from 270 guesses to 100. Now that ...