We present a deep-dive into a real-world robotic learning system that, i...
We address a benchmark task in agile robotics: catching objects thrown a...
Animals have evolved various agile locomotion strategies, such as sprint...
Training complex machine learning (ML) architectures requires a compute ...
We present two new classes of algorithms for efficient field integration...
We present a new class of structured reinforcement learning
policy-archi...
We propose a new class of random feature methods for linearizing softmax...
There has recently been significant interest in training reinforcement
l...
We introduce ES-ENAS, a simple neural architecture search (NAS) algorith...
In this work we augment a Deep Q-Learning agent with a Reward Machine (D...
Legged robots navigating crowded scenes and complex terrains in the real...
Developing agile behaviors for legged robots remains a challenging probl...
The 'old world' instrument, survey, remains a tool of choice for firms t...
We present a new algorithm for finding compact neural networks encoding
...
Legged locomotion is a challenging task for learning algorithms, especia...
Interest in derivative-free optimization (DFO) and "evolutionary strateg...