The free energy principle, and its corollary active inference, constitute a bio-inspired theory
that assumes biological agents act to remain in a restricted set of preferred states of the …

Abstract Machine learning-based modeling of physical systems has experienced increased
interest in recent years. Despite some impressive progress, there is still a lack of …

Isaac Gym offers a high performance learning platform to train policies for wide variety of
robotics tasks directly on GPU. Both physics simulation and the neural network policy …

Reinforcement Learning (RL) is a continuously growing field that has the potential to
revolutionize many areas of artificial intelligence. However, despite its promise, RL research …

In order to improve reproducibility, deep reinforcement learning (RL) has been adopting
better scientific practices such as standardized evaluation metrics and reporting. However …

The brain's connectivity is locally dense and globally sparse, forming a small-world graph—
a principle prevalent in the evolution of various species, suggesting a universal solution for …

The original" Seven Motifs" set forth a roadmap of essential methods for the field of scientific
computing, where a motif is an algorithmic method that captures a pattern of computation …

Tremendous progress has been made in reinforcement learning (RL) over the past decade.
Most of these advancements came through the continual development of new algorithms …