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Boosted Curriculum Reinforcement Learning

GPU-accelerated policy optimization via batch automatic differentiation of gaussian processes for real-world control

Convex Regularization in Monte-Carlo Tree Search

Self-Paced Deep Reinforcement Learning

Generalized Mean Estimation in Monte-Carlo Tree Search

Projections for Approximate Policy Iteration Algorithms

Hybrid Control Trajectory Optimization under Uncertainty

Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning