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A reinforcement learning environment is a fail-safe digital practice room where an agent can afford to make mistakes and learn from them without real-world consequences.

A team of AI driven unmanned ground vehicles navigates obstacles, locates fires, and coordinates suppression tasks in simulated high risk industrial scenarios.

First Joint Offering from Weights & Biases and OpenPipe, Provides Fast, Easy Way to Train with RL at Scale LIVINGSTON, N.J.--(BUSINESS WIRE)-- CoreWeave, Inc. (Nasdaq: CRWV), the AI Hyperscaler™, ...

Firefighting robots powered by artificial intelligence have completed a successful early trial in Australia, ...

Researchers at the Japan Advanced Institute of Science and Technology (JAIST) implemented a framework named PenGym that supports the creation of realistic training environments for reinforcement ...

CoreWeave (NASDAQ:CRWV) announced the launch of Serverless RL, a fast way to train AI agents using reinforcement learning, or RL. Shares of the company surged about 9% on Wednesday. The company said ...

Let’s look at how RL agents are trained to deal with ambiguity, and it may provide a blueprint of leadership lessons to ...