An adaptive agent-based approach for instant delivery order dispatching: Incorporating task buffering and dynamic batching strategies

Analysis of the impact of traffic density on training of reinforcement learning based conflict resolution methods for drones

Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning

The first AI4TSP competition: Learning to solve stochastic routing problems

Deep reinforcement learning control approach to mitigating actuator attacks

AutoPOI: automated points of interest selection for side-channel analysis

Synchromodal freight transport re-planning under service time uncertainty: An online model-assisted reinforcement learning

Deep reinforcement learning for cerebral anterior vessel tree extraction from 3D CTA images

EAVS: Edge-assisted Adaptive Video Streaming with Fine-grained Serverless Pipelines

A Secure Robot Learning Framework for Cyber Attack Scheduling and Countermeasure

On Designing Smart Agents for Service Provisioning in Blockchain-Powered Systems

Learning-based resilience guarantee for multi-UAV collaborative QoS management

Learning Interaction-Aware Guidance for Trajectory Optimization in Dense Traffic Scenarios

Actor-critic reinforcement learning for bidding in bilateral negotiation

Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints

Sample effficient deep reinforcement learning for control

A method of personalized driving decision for smart car based on deep reinforcement learning

Deep reinforcement learning for acceptance strategy in bilateral negotiations

Vision-based navigation using deep reinforcement learning