Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
IEEE

Towards Fast Rates for Federated and Multi-Task Reinforcement Learning

Abstract: We consider a setting involving N agents, where each agent interacts with an environment modeled as a Markov Decision Process (MDP). The agents’ MDPs differ in their reward functions, ...
EurekAlert!

Energy learning hyper-heuristic algorithm for cooperative task assignment of heterogeneous UAVs under complex constraints

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
IEEE

Let Invariant Learning Inspire Neighbor-shift Generalization on Graphs

Abstract: Graph Neural Networks (GNNs) have achieved strong performance on various graph learning tasks under the assumption of independently and identically distributed (IID) data. However, recent ...

NFL Sundays Meet School Days: Inside Miami’s Classroom Where Football Fuels Learning

NFL Sundays Meet School Days: Inside Miami’s Classroom Where Football Fuels Learning The Steelers are in the rare position of ...