Abby Van Soest

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All published works

Action	Title	Year	Authors
+	Provably Efficient Maximum Entropy Exploration	2018	Elad Hazan Sham M. Kakade Karan Singh Abby Van Soest
+	Provably Efficient Maximum Entropy Exploration	2018	Elad Hazan Sham M. Kakade Karan Singh Abby Van Soest

Common Coauthors

Coauthor	Papers Together
Elad Hazan	2
Karan Singh	2
Sham M. Kakade	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Deep Exploration via Bootstrapped DQN	2016	Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy	1
+	Unifying Count-Based Exploration and Intrinsic Motivation	2016	Marc G. Bellemare Sriram Srinivasan Georg Ostrovski Tom Schaul David Saxton Rémi Munos	1
+ PDF Chat	Introduction to Online Convex Optimization	2016	Elad Hazan	1
+	Minimax Regret Bounds for Reinforcement Learning	2017	Mohammad Gheshlaghi Azar Ian Osband Rémi Munos	1
+	Curiosity-driven Exploration by Self-supervised Prediction	2017	Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell	1
+	On Learning Intrinsic Rewards for Policy Gradient Methods	2018	Zeyu Zheng Junhyuk Oh Satinder Singh	1
+	Randomized Prior Functions for Deep Reinforcement Learning	2018	Ian Osband John Aslanides Albin Cassirer	1
+	Visual Reinforcement Learning with Imagined Goals	2018	Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine	1
+	Large-Scale Study of Curiosity-Driven Learning	2018	Yuri Burda Harri Edwards Deepak Pathak Amos Storkey Trevor Darrell Alexei A. Efros	1
+	Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator	2018	Maryam Fazel Rong Ge Sham M. Kakade Mehran Mesbahi	1
+	Episodic Curiosity through Reachability	2018	Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly	1
+	Exploration by Random Network Distillation.	2018	Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov	1
+	EX2: Exploration with Exemplar Models for Deep Reinforcement Learning	2017	Justin Fu John D. Co-Reyes Sergey Levine	1
+	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning	2010	Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell	1