Leonard Hasenclever

According to our database1, Leonard Hasenclever authored at least 8 papers between 2014 and 2019.

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Bibliography

2019
Neural Probabilistic Motor Primitives for Humanoid Control.
Proceedings of the 7th International Conference on Learning Representations, 2019

Information asymmetry in KL-regularized RL.
Proceedings of the 7th International Conference on Learning Representations, 2019

Observational Learning by Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Sylvester Normalizing Flows for Variational Inference.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Mix & Match Agent Curricula for Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server.
J. Mach. Learn. Res., 2017

Relativistic Monte Carlo.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2014
An investigation into irreducible autocatalytic sets and power law distributed catalysis.
Natural Computing, 2014


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