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Graph convolution reinforcement learning for active wake control in windfarms: Application of a multi-agent reinforcement learning algorithm
Knowing one’s opponents: Self Modeling Advantage Actor Critic for the Iterated Prisoner’s Dilemma
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?
Effects of action space discretization and DQN extensions on algorithm robustness and efficiency: How do the discretization of the action space and various extensions to the well-known DQN algorithm influence training and the robustness of final policies under various testing conditions?
Reinforcement Learning for minimizing the total waiting time of passengers in a Taxi Dispatch Problem
Using Decision Trees produced by Generative Adversarial Imitation Learning to give insight into black box Reinforcement Learning models
Learning the Problem Representation for Improving Negotiation Strategies
Autonomous greenhouse climate control with Q-learning using ENMPC as a function approximator
Online Reinforcement Learning for Flight Control: An Adaptive Critic Design without prior model knowledge
Towards Self-Learning Model-Based Evolutionary Algorithms
Dyadic Physical Activity Planning with a Virtual Coach: Using Reinforcement Learning to Select Persuasive Strategies
Learning-based path planning for automatic guided vehicles in container terminals: A case study at TBA Group
Incremental Model Based Actor Critic Design for Optimal Adaptive Flight Control: Investigation and Implementation of Online Flight Control Methods
Deep Reinforcement Learning for the Automatic Six-Degree-of-Freedom Docking Maneuver of Space Vehicles
Distributional Reinforcement Learning for Flight Control: A risk-sensitive approach to aircraft attitude control using Distributional RL
MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response
Safe & Intelligent Control: Fault-tolerant Flight Control with Distributional and Hybrid Reinforcement Learning using DSAC and IDHP
Self-corrective Apprenticeship Learning for Quadrotor Control
A Method for Embodied Co-Learning in Interdependent Human-Robot Teams
Deep Reinforcement Learning for Aircraft Landing: A study on the use of Deep Reinforcement Learning techniques for automatic control of aircraft landing
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