Deep Reinforcement Learning

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Geeky Gadgets

Watch AI learn to walk using Deep Reinforcement Learning (DRL)

Deep Reinforcement Learning (DRL) is a subfield of machine learning that combines neural networks with reinforcement learning techniques to make decisions in complex environments. It has been applied ...
International Monetary Fund

AI and Macroeconomic Modeling: Deep Reinforcement Learning in an RBC model

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, ...
The Information

‘Reinforcement Learning Gym’ Startup, Buoyed by Labs’ Appetite For Training Data, Reaches $750 Million Valuation

AI developers are getting more creative in how they acquire data to train AI models. For instance, they’re paying startups to develop copies of popular apps, like Salesforce or Excel, to teach models ...
EurekAlert!

Breaking through the dilemma of reinforcement learning by microwave photonics

Schematic diagram of the NOEO-based photonic accelerator. (a) Experimental setup of the NOEO. (b) Evolution of the temporal sequences generated by the NOEO with an increasing net gain β. (c) MAB ...
EurekAlert!

AI masters the art of navigating sharp mountain curves of autonomous driving

Picture this: a self-driving car smoothly navigating treacherous mountain roads with consecutive hairpin turns – a scenario that would challenge even the most experienced human drivers. This vision is ...