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Graph convolution reinforcement learning for active wake control in windfarms: Application of a multi-agent reinforcement learning algorithm
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?
Learning the Problem Representation for Improving Negotiation Strategies
Using Decision Trees produced by Generative Adversarial Imitation Learning to give insight into black box Reinforcement Learning models
Knowing one’s opponents: Self Modeling Advantage Actor Critic for the Iterated Prisoner’s Dilemma
Reinforcement Learning for minimizing the total waiting time of passengers in a Taxi Dispatch Problem
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