From the 1 of 4 linked papers with an AI index.
4 papers
SymmGrid: Super-Scaling On-Robot Learning with Parallelized Symmetries and Egocentric-Exocentric Visual Perception
Gabe Everett, Brice Gunter, Ryan Vander Stelt +3
The paper introduces SymmGrid, a trajectory-level augmentation framework that uses parallelized symmetry transformations on egocentric and exocentric visual inputs to speed up on-r…
Deep Reinforcement Learning and The Tale of Two Temporal Difference Errors
Juan Sebastian Rojas, Chi-Guhn Lee
The temporal difference (TD) error was first formalized in Sutton (1988), where it was first characterized as the difference between temporally successive predictions, and later, i…
Thermodynamics of Reinforcement Learning Curricula
Jacob Adamczyk, Juan Sebastian Rojas, Rahul V. Kulkarni
Connections between statistical mechanics and machine learning have repeatedly proven fruitful, providing insight into optimization, generalization, and representation learning. In…
Multi-Group Equivariant Augmentation for Reinforcement Learning in Robot Manipulation
Hongbin Lin, Juan Rojas, Kwok Wai Samuel Au
Sampling efficiency is critical for deploying visuomotor learning in real-world robotic manipulation. While task symmetry has emerged as a promising inductive bias to improve effic…