Deep Reinforcement Learning News Today

Deep Reinforcement Learning: Zero to Hero! Contribute to alessiodm/drl-zh development by creating an account on GitHub.

Harambe Token marks a significant advancement in cryptocurrency by combining the thrill of meme coins with advanced AI technology.

A team of students at the University of Strathclyde has won an award at an international challenge in the design and building of an autonomous marine craft, after overcoming challenges which meant they were able to compete only in the last round of t

I frequently reference a process called Reinforcement Learning with Human Feedback (RLHF) when discussing LLMs, whether in the research news or tutorials. RLHF is an integral part of the modern LLM training pipeline due to its ability to incorporate human preferences into the optimization landscape, which can improve the model's helpfulness and safety.

Within the manufacturing domain, deep tech ecosystems are essential for keeping the engines running, bolstering shop floor operations and seamlessly integrating back-end and front-end functions, positioning companies for unrivaled success.

An AI drone has beaten pro drone racers at their own game in a world's first that could have implications for other drone-related tasks.

High-speed drone racing has just had a shocking "Deep Blue" moment, as an autonomous AI designed by University of Zurich researchers repeatedly forced three world champion-level pilots to eat its dust, showing uncanny precision in dynamic flight.

Investing in the stock market can be a profitable but daunting task for many armchair investors. The stock market is well-known for being notoriously difficult to predict due to its dependence on a wide range of factors. Economic indicators, political events, global trends, and even natural disasters can all exert an influence on the stock prices.

A bimanual robot developed in Bristol displays tactile sensitivity close to human-level dexterity using AI to inform its actions.

Using deep reinforcement learning and 'proprioception,' the two robotic limbs can pick up extremely fragile objects.