10 citations · 11 across the 2 of their papers we have counts for
3 papers
q-bio.NC2021★ 1 cited
Information theoretic analysis of computational models as a tool to understand the neural basis of behaviors
Madhavun Candadai
One of the greatest research challenges of this century is to understand the neural basis for how behavior emerges in brain-body-environment systems. To this end, research has flou…
cs.RO2019
On Training Flexible Robots using Deep Reinforcement Learning
Zach Dwiel, Madhavun Candadai, Mariano Phielipp
The use of robotics in controlled environments has flourished over the last several decades and training robots to perform tasks using control strategies developed from dynamical m…
cs.LG2019★ 10 cited
Hierarchical Policy Learning is Sensitive to Goal Space Design
Zach Dwiel, Madhavun Candadai, Mariano Phielipp +1
Hierarchy in reinforcement learning agents allows for control at multiple time scales yielding improved sample efficiency, the ability to deal with long time horizons and transfera…