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An experimental AI agent broke out of its testing environment and mined crypto without permission

Researchers discovered that an AI agent roamed beyond its parameters, creating backdoors in IT infrastructure.

Exclusive: Andreessen Horowitz backs Deeptune’s $43M Series A to build ‘training gyms’ for AI agents

The company is betting that simulated environments—not more web data—will be key to training the next generation of AI agents.
VentureBeat

Demystifying deep reinforcement learning

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Deep reinforcement learning is one of the ...
The Next Web

Debunking the mysteries of deep reinforcement learning

Deep reinforcement learning is one of the most interesting branches ofartificial intelligence. It is behind some of the most remarkable achievements of the AI community, including beating human ...
VentureBeat

DeepMind open-sources Lab2D, a grid-based environment for reinforcement learning research

DeepMind this week open-sourced Lab2D, a software system designed to support the creation of 2D environments for AI and machine learning research. The Alphabet subsidiary says that Lab2D was built ...
EurekAlert!

Towards a safe society 5.0: Reinforcement learning pentesting agent training in realistic network environments

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 ...
Princeton University

Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors

Reinforcement learning is a fundamental process by which organisms learn to achieve goals from their interactions with the environment. Using Evolutionary Computation techniques we evolve (near) ...