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stat.ML2016
Asynchronous Stochastic Gradient MCMC with Elastic Coupling
Jost Tobias Springenberg, Aaron Klein, Stefan Falkner +1
We consider parallel asynchronous Markov Chain Monte Carlo (MCMC) sampling for problems where we can leverage (stochastic) gradients to define continuous dynamics which explore the…
cs.RO2016★ 33 cited
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker +1
In this paper we consider the problem of robot navigation in simple maze-like environments where the robot has to rely on its onboard sensors to perform the navigation task. In par…