This repository is a reproduction of the reinforcement learning algorithm I have learned ... Next is the convergence of A2C in the Cartpole-v0 environment. During the experiment, it was found that the ...

In this work, we consider an autonomous vehicle network where an AV utilizes its queue state information (QSI) and channel state information (CSI) in conjunction with reinforcement learning techniques ...

DeepSeek-R1’s Monday release has sent shockwaves through the AI community, disrupting assumptions about what’s required to ...

DeepSeek-R1 is the groundbreaking reasoning model introduced by China-based DeepSeek AI Lab. This model sets a new benchmark ...

Generative AI (LLMs) has already shown some promise in healthcare and social robotics. In healthcare, it is used to enhance clinical decision-making, ...

The company developed DeepSeek-R1 by using pure reinforcement learning on top of DeepSeek-V3-Base, and matched or beat o1 on some benchmarks.

Ms. Pryor, whose experience as a dolphin trainer showed her how positive reinforcement could be used ... stars had confounded their trainers by not learning the tricks planned for them.

Manipulating the key meant food, that is the premise of reinforcement in learning. What is an example of a classical conditioning? Created with Sketch. Food poisoning is a good example of such ...

Against this backdrop, employee learning and development is more critical than ever — yet a recent report from LinkedIn and a series of interviews with 25 CLOs suggest that learning ...

By The Learning Network We asked students, “What are you thinking and feeling as President Trump returns to power?” By The Learning Network Debates, graphs, writing exercises, art projects ...

For the efficient and stable motion control of autonomous vehicles equipped with domain-centralized E/E architecture, this paper proposes an improved deep reinforcement learning framework based on ...