The core idea behind reinforcement learning is for a system to learn in the same manner that people and animals learn—by ...

Research team from Nanjing University proposed FOCUS, a causal model-based offline RL algorithm, which uses causal structure ...

Beyond high performance, the RL framework’s main advantage lies in its real-time application potential. Once trained, the ...

Prime Intellect has released INTELLECT-2, a 32 billion parameter language model trained using fully asynchronous ...

CMU's FALCON system helps humanoid robots walk steadily and handle tough forceful tasks like cart-pulling and door-opening.

In this modern era, Reinforcement Learning (RL) has evolved from theoretical research to a transformative force driving significant changes in industrial applications. Debu Sinha, a recognized ...

Research team introduced clustered reinforcement learning (CRL), a novel RL framework for efficient exploration in large state spaces or sparse ...

In the spirit of a technology developed by AI company Anthropic, Microsoft sees the future of AI where there are lots of ...