A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...

This multi-objective setup encourages natural walking behavior rather than rigid or inefficient movement. A four-stage ...

Deep Reinforcement Learning (DRL) is a subfield of machine learning that combines neural networks with reinforcement learning techniques to make decisions in complex environments. It has been applied ...

Prior machine learning experience (e.g., an introductory machine learning course ELEC_ENG 375/475 or COMP_SCI 349 or a similar course), a thorough understanding of Linear Algebra and Vector Calculus, ...