Optimized Multi-UAV Deployment for Urban Vehicular Networks
Discover how dynamic multi-UAV deployment with Q-SDAM boosts urban vehicular network connectivity by 18.2% and cuts energy use by 66.6%.
PRISM: Interpretable Policy Reuse in Reinforcement Learning
Discover PRISM, a framework for interpretable policy reuse in reinforcement learning enabling zero-shot transfer across diverse agents.
Contrastive Prompt Tuning for Energy-Efficient Code
Explore how Contrastive Prompt Tuning improves AI-generated energy-efficient code, advancing green software development and reducing computational costs.
Differentiable Symbolic Planning for Advanced Constraint Reasoning
Discover Differentiable Symbolic Planning, a neural architecture enhancing constraint reasoning with learned feasibility and high accuracy on key benchmark...
OPRIDE: Efficient Offline Preference-Based Reinforcement Learning
Discover OPRIDE, a novel algorithm improving offline preference-based reinforcement learning with efficient in-dataset exploration and reduced human feedba...