Reinforcement Learning for Flight Control: Evaluating Handling Qualities and Stability Properties of the PH-LAB

Learning Vision-based Navigation Policies for Information Gathering with Quadcopters: A Deep Reinforcement Learning Approach

Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs

Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion

Synergetic-informed deep reinforcement learning for sustainable management of transportation networks with large action spaces

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

Condition-Based Maintenance scheduling of an aircraft fleet under partial observability: A Deep Reinforcement Learning approach

Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling

General Reinforcement Learning Agents for Crop Management

Deep Reinforcement Learning for Aircraft Landing: A study on the use of Deep Reinforcement Learning techniques for automatic control of aircraft landing

Evaluating robustness of deep reinforcement learning for autonomous driving: Effects of domain randomization on training and robustness

Evaluating Robustness of Deep Reinforcement Learning for Autonomous Driving: How does entropy maximization affect the training and robustness of final policies under various testing conditions?

Comparative Analysis of Exploration Algorithms in Deep Reinforcement Learning for Autonomous Driving: How does epsilon-greedy, random network distillation, bootstrapped DQN affect training and the robustness of final policies under various testing conditions in autonomous driving?

Improving DRL Of Vision-Based Navigation By Stereo Image Prediction

Multi-objective Deep Reinforcement Learning for predictive maintenance of road networks

Learning to search & track dynamic targets with graph representations

Incorporating climate change in I&M planning for engineering structures - A Deep Reinforcement Learning Framework

Autonomous conflict resolution for high-density urban operations using deep reinforcement learning

Controlling the estimation bias in deep reinforcement learning problems with sparse rewards: Towards robust robotic object manipulation learning