Published in NeurIPS 2022, 2022
We provide a new theory for understanding the capacity of neural networks in light of the manifold hypothesis
Recommended citation: Saket Tiwari, & George Konidaris. (2022). "Effects of Data Geometry in Early Deep Learning." NeurIPS 2022 https://openreview.net/pdf?id=QYQH9w9Z8bO
Published in RLDM 2022, 2022
We prove that the state space is a low dimensional manifold and show that DDPG can effectively learn in this low dimensional space
Recommended citation: Saket Tiwari, Omer Gottesman, & George Konidaris. (2022). "On the Geometry of Reinforcement Learning in continuous state and action sapces." RLDM 2022 https://arxiv.org/pdf/1812.01488.pdf
Published in AAAI 2019, 2019
We derive a practical natural gradient method for the option critic framework in Hierarchical Reinforcement Learning
Recommended citation: Saket Tiwari, & Philip Thomas. (2019). "Natural Option Critic." AAAI 2019 https://arxiv.org/pdf/1812.01488.pdf