Reinforcement Learning
Cooperative Heterogeneous Deep Reinforcement Learning
Numerous deep reinforcement learning agents have been proposed, and each of them has its strengths and flaws.
Real World Games Look Like Spinning T ops
This paper investigates the geometrical properties of real world games (e.g.
Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game
A major task of sports analytics is player evaluation.
Acknowledgments
Do the main claims made in the abstract and introduction accurately reflect the paper's
sin (2πB() cos (2πB()! y! Input Output
These functions map points in the state or state-action space to expected returns, and provide crucial information that is used for improving the policy.
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
Abstraction has been widely studied as a way to improve the efficiency and generalization of reinforcement learning algorithms.