Tag: reinforcement learning

A new study of Swiss catchments shows that deterministic LSTMs underestimate 97 percent of the most extreme floods, while probabilistic ...

Researchers have combined YOLOv12 detection, capsule networks, reinforcement learning, and Harris Hawks Optimization into a real-time face detection framework that ...

Researchers have built a deep reinforcement learning agent that dynamically tunes feedback parameters to help large expert groups reach consensus ...

A new dynamic framework argues that in markets run by learning algorithms, equilibrium emerges only as a possible outcome of ...

Researchers at Zhejiang University developed a two-stage training framework that uses temporary virtual forces to help humanoid robots learn highly ...

Researchers have trained a reinforcement learning system that autonomously plans collisions between robots to determine whether a malfunctioning agent's fault ...

NASA researchers used Computation Tree Logic model-checking to formally verify that their machine learning runway configuration tool meets crosswind and ...

A new framework called ADTE combines graph-attentive neural networks, non-stationary reinforcement learning, and continual learning to deliver adversarially robust, certified ...

A reinforcement learning framework called RLFC cuts tail latency by over 20 percent and extends SSD endurance in hybrid storage ...

A new PRISMA-based systematic review of 32 studies finds that AI can dramatically cut household energy and water waste, but ...