IEEE7d
Multi-Agent-Game-Based Reinforcement Learning Energy Management Strategy for Flexible Traction Power Supply System with Energy Storage System
This paper proposes a multi-agent-game-based reinforcement learning energy management strategy to facilitate collaborative energy interaction among neighboring substations. Specifically, a Markov ...
Frontiers19d
A deep reinforcement learning-based approach for cyber resilient demand response optimization
This research endeavors to advance peak load forecasting strategies and demand response optimization at the microgrid level, thereby enhancing grid reliability through the application of Deep ...
unite1h
Reinforcement Learning Meets Chain-of-Thought: Transforming LLMs into Autonomous Reasoning Agents
Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. However, their ability to engage in ...
devdiscourse3d
How reinforcement learning and generative AI drive the next wave of data-centric AI innovation
Generative AI provides another transformative approach for optimizing tabular data. Instead of manually selecting or ...
unite8d
The Many Faces of Reinforcement Learning: Shaping Large Language Models
In recent years, Large Language Models (LLMs) have significantly redefined the field of artificial intelligence (AI), ...
Tech Xplore on MSN1d
Continuous skill acquisition in robots: New framework mimics human lifelong learning
Humans are known to accumulate knowledge over time, which in turn allows them to continuously improve their abilities and ...
news.crunchbase28d
Reinforcement Learning From Human Feedback Took Travel AI Tool To Near-Perfect Accuracy
Improving AI performance through reinforcement learning from human feedback added a travel assistant feature to travel publisher Matador Network. In this guest commentary, Matador CTO Stefan Klopp ...
Hosted on MSN14h
Reinforcement Learning Triples Spot’s Running Speed
Boston Dynamics released a research version of its Spot quadruped robot, which comes with a low-level application programming interface (API) that allows direct control of Spot’s joints. Even back ...
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 ...