2

We present a benchmark of structured policies for real-world dexterous manipulation. Our proposed approaches combine elements of classical robotics and modern policy optimization. This inclusion of inductive biases facilitates sample efficiency, interpretability, reliability and high performance.

We present a framework for model-free learning of event-triggered control strategies. Event-triggered methods aim to achieve high …