Models and heuristics for hard routing and knapsack problems

The Feasibility of Reinforcement Learning as a replacement for Mixed-Integer Programming for Smart Charging of Electric Vehicles

Offline-Online Reoptimization using a Hybrid Method

Combining MPC and reinforcement learning in a model-reference framework for urban traffic signal control

REAL Reinforcement Learning: Planning with adversarial models

Back to the Future: Solving Hidden Parameter MDPs with Hindsight

Lateral and Vertical Air Traffic Control Under Uncertainty Using Reinforcement Learning

Event-Based Communication in Distributed Q-Learning

Optimal dispatch of PV inverters in unbalanced distribution systems using Reinforcement Learning

Robust Event-Driven Interactions in Cooperative Multi-agent Learning

From Supervised to Reinforcement Learning: an Inverse Optimization Approach

Simulating an Scheduling Airport Security Checkpoints: Q-Learning-Based Allocation of Operators to Security Teams at an Airport Security Checkpoint

Reinforcement Learning for Quadcopter Fault Tolerance: Analyzing Hierarchical and Online Deep Reinforcement Learning for Quadcopter Fault Tolerant Control

Know what it does not know: Improving Offline Deep Reinforcement Learning with Uncertainty Estimation

Reinforcement learning for order distribution in self-organizing logistics

End-to-End Hierarchical Reinforcement Learning for Adaptive Flight Control: A method for model-independent control through Proximal Policy Optimization with learned Options

Bus management using multi-agent reinforcement learning

Using reinforcement learning for finding the optimal quantum annealing schedule

Log-Based Behavioral System Model Inference Using Reinforcement Learning

Music Playlist Generation for Emotion Regulation: A Functional Component in the Individualized Music Intervention for Persons with Dementia