Mode-Constrained Exploration for Model-Based Reinforcement Learning

Aidan Scannell
Sep 24, 2022
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reinforcement-learning machine-learning gaussian-processes optimal-control robotics python TensorFlow GPflow research
Aidan Scannell
Aidan Scannell
Postdoctoral Researcher

My research interests include model-based reinforcement learning, probabilistic machine learning (gaussian processes, Bayesian neural networks, approximate Bayesian inference, etc), learning-based control and optimal control.

Publications

Mode-Constrained Model-Based Reinforcement Learning via Gaussian Processes
Model-based reinforcement learning (MBRL) algorithms do not typically consider environments – subject to multiple dynamics modes …
Aidan Scannell, Carl Henrik Ek, Arthur Richards
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Mode-Constrained Model-Based Reinforcement Learning via Gaussian Processes