We adapt reinforcement learning (RL) methods for continuous control to b...
We propose a framework for the design of feedback controllers that combi...
Meta-learning is a branch of machine learning which aims to synthesize d...
Meta-learning is a branch of machine learning which trains neural networ...
Deep reinforcement learning (RL) is an optimization-driven framework for...
We introduce a method for learning provably stable deep neural network b...
Meta-learning is a branch of machine learning which aims to quickly adap...
Deep reinforcement learning (DRL) has seen several successful applicatio...
Reinforcement learning has been successfully applied to the problem of t...