Can artificial intelligence prevent the next financial crisis?
The significance of AI Artificial intelligence plays a big role in modern crisis prevention across various industries. In ...
Frontiers26d
Hybrid learning strategies: integrating supervised and reinforcement techniques for railway wheel wear management with limited measurement data
The variation of data includes the variation in weights of rolling stock, speed of rolling stock, and track characteristics (straight, curve, and spiral). The operational uncertainties are included in ...
IEEE17d
Deep Reinforcement Learning for Optimizing Multi-hop Distributed Collaborative Task Offloading in R2X
Since RSUs collect a large volume of data ... (LSTM) model to predict and update the neighbors for each node while considering effect values, allowing them to independently adapt to environmental ...
GitHub26d
federated-reinforcement-learning
It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness. [NeurIPS2021] Federated Reinforcement Learning with Theoretical ...
Frontiers19d
A deep reinforcement learning-based approach for cyber resilient demand response optimization
thereby enhancing grid reliability through the application of Deep Reinforcement Learning (DRL) techniques. Additionally, it investigates the ongoing threat of false data injection attacks. By ...
DeepSeek-R1’s bold bet on reinforcement learning: How it outpaced OpenAI at 3% of the cost
DeepSeek-R1’s Monday release has sent shockwaves through the AI community, disrupting assumptions about what’s required to achieve cutting-edge AI performance. This story focuses on exactly how ...
Prediction: 1 Artificial Intelligence (AI) Stock That Will Be Worth More Than Nvidia 5 Years From Now
Nvidia has generated remarkable growth since the advent of AI. In fact, over the past three years, its stock price has gained ...
Semiconductor Engineering25d
DeepSeek: Improving Language Model Reasoning Capabilities Using Pure Reinforcement Learning
DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning ... which incorporates multi-stage training and cold-start data before RL. DeepSeek-R1 ...