Aalto Robot Learning Lab
Aalto Robot Learning Lab
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Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
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
Learning Intention Aware Online Adaptation of Movement Primitives
An Algorithmic Perspective on Imitation Learning
Robotic manipulation of multiple objects as a POMDP
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