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Posts by Collection
portfolio
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publications
Natural Option Critic
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
ON THE GEOMETRY OF REINFORCEMENT LEARNING IN CONTINUOUS STATE AND ACTION SPACES
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
Effects of Data Geometry in Early Deep Learning
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
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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