Aalto Robot Learning Lab
Aalto Robot Learning Lab
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Nonlinear Model Learning for Compensation and Feedforward Control of Real-World Hydraulic Actuators Using Gaussian Processes
Abdolreza Taheri
,
Pelle Gustafsson
,
Marcus Rösth
,
Reza Ghabcheloo
,
Joni Pajarinen
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Boosted Curriculum Reinforcement Learning
Pascal Klink
,
Carlo D'Eramo
,
Jan Peters
,
Joni Pajarinen
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Code
GPU-accelerated policy optimization via batch automatic differentiation of gaussian processes for real-world control
Abdolreza Taheri
,
Joni Pajarinen
,
Reza Ghabcheloo
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Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning
Simone Parisi
,
Davide Tateo
,
Maximilian Hensel
,
Carlo D'Eramo
,
Jan Peters
,
Joni Pajarinen
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Code
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
Pascal Klink
,
Hany Abdulsamad
,
Boris Belousov
,
Carlo D'Eramo
,
Jan Peters
,
Joni Pajarinen
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Code
Convex Regularization in Monte-Carlo Tree Search
Tuan Q Dam
,
Carlo D'Eramo
,
Jan Peters
,
Joni Pajarinen
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Self-Paced Deep Reinforcement Learning
Pascal Klink
,
Carlo D'Eramo
,
Jan Peters
,
Joni Pajarinen
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Generalized Mean Estimation in Monte-Carlo Tree Search
Tuan Dam
,
Pascal Klink
,
Carlo D'Eramo
,
Jan Peters
,
Joni Pajarinen
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Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement
Mikko Lauri
,
Joni Pajarinen
,
Jan Peters
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Probabilistic approach to physical object disentangling
Joni Pajarinen
,
Oleg Arenz
,
Jan Peters
,
Gerhard Neumann
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