Aalto Robot Learning Lab
Aalto Robot Learning Lab
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Boosted Curriculum Reinforcement Learning
Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
Convex Regularization in Monte-Carlo Tree Search
Self-Paced Deep Reinforcement Learning
Generalized Mean Estimation in Monte-Carlo Tree Search
Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement
Probabilistic approach to physical object disentangling
Compatible natural gradient policy search
Projections for Approximate Policy Iteration Algorithms
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