IEEE27d
Improved Deep Reinforcement Learning for Efficient Motion Control of Autonomous Vehicle with Domain-Centralized Electronic and Electrical Architecture
this paper proposes an improved deep reinforcement learning framework based on multi-hops loop delay and accelerated gradient optimization. Firstly, the domain-centralized E/E architecture and motion ...
techxplore27d
Microsoft introduces rStar-Math, an SLM for math reasoning and problem solving
In this new effort, Microsoft has focused its efforts on not just solving math problems, but also in teaching an SLM how to reason its way through a problem. In developing its model, Microsoft made it ...
GitHub1mon
Pull requests: zhLin777/Machine-Learning-NEAT
Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
IEEE1mon
Real-time Planning of Route, Speed, and Charging for Electric Delivery Vehicles: A Deep Reinforcement Learning Approach
In view of the above, this paper examines a new electric vehicle routing problem that explicitly models BEVs’ SVR and considers the joint planning of BEV route, speed, and charging under stochastic ...