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Nonlinear Model Learning for Compensation and Feedforward Control of Real-World Hydraulic Actuators Using Gaussian Processes

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