3 hours ago · ai

Distributed Reinforcement Learning for Scalable High-Performance Policy Optimization

Leveraging massive parallelism, asynchronous updates, and multi-machine training to match and exceed human-level performance The post Distributed Reinforcement...

5 days ago · ai

[Paper] Multi-Objective Reinforcement Learning for Efficient Tactical Decision Making for Trucks in Highway Traffic

Balancing safety, efficiency, and operational costs in highway driving poses a challenging decision-making problem for heavy-duty vehicles. A central difficulty...