Online intelligent flight control using reinforcement learning

Learning Human Preferences for Physical Human-Robot Cooperation

Conflict Resolution at High Traffic Densities with Reinforcement Learning

Generalized Models of Sequential Decision-Making under Uncertainty

Interaction-Aware Motion Planning in Crowded Dynamic Environments

Applications of Quantum Computation and Algorithmic Information: for Causal Modeling in Genomics and Reinforcement Learning

Models and heuristics for hard routing and knapsack problems

Balancing and redispatch: the next stepping stones in European electricity market integration: Improving the market design and the efficiency of the procurement of balancing and redispatch services

The Intersection of Planning and Learning

Sample effficient deep reinforcement learning for control

Resource-constrained Multi-agent Markov Decision Processes

An Empirical Approach to Reinforcement Learning for Micro Aerial Vehicles

Safer reinforcement learning for robotics

Online reinforcement learning control for aerospace systems

Safe Online Robust Exploration for Reinforcement Learning Control of Unmanned Aerial Vehicles

Use of Affordances for Efficient Robot Learning

Automatic synthesis of supervisory control systems

Online Model Learning Algorithms for Actor-Critic Control

Reinforcement Learning on autonomous humanoid robots

Ant Colony Optimization for Control