Reinforcement Learning for Flight Control: Hybrid Offline-Online Learning for Robust and Adaptive Fault-Tolerance

Pacing regulation for runners

Deep Exploration by Planning With Uncertainty in Deep Model Based Reinforcement Learning

Reinforcement Learning for Flight Control of the Flying V

Explainable Artificial Intelligence Techniques for the Analysis of Reinforcement Learning in Non-Linear Flight Regimes

Multi-Agent Reinforcement Learning using Centralized Critics in Collaborative Environments

Fictional Co-Play for Human-Agent Collaboration: Evaluating state-of-the-art reinforcement learning technique for adaptability to human collaborators

Adapting to Dynamic User Preferences in Recommendation Systems via Deep Reinforcement Learning

Learning a Latent Representation of the Opponent in Automated Negotiation

Improving a Reinforcement Learning Negotiating Agent’s Performance by Extracting Information from the Opponent’s Sequence of Offers

Automated Medical History Taking in Primary Care: A Reinforcement Learning Approach

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

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