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A Distributional Analysis of Sampling-Based Reinforcement Learning
  Algorithms

A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
27 March 2020
Philip Amortila
Doina Precup
Prakash Panangaden
Marc G. Bellemare
ArXiv (abs)PDFHTML

Papers citing "A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms"

4 / 4 papers shown
A Distributional Analogue to the Successor Representation
A Distributional Analogue to the Successor Representation
Harley Wiltzer
Jesse Farebrother
Arthur Gretton
Yunhao Tang
André Barreto
Will Dabney
Marc G. Bellemare
Mark Rowland
443
11
0
13 Feb 2024
STEERING: Stein Information Directed Exploration for Model-Based
  Reinforcement Learning
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023
Souradip Chakraborty
Amrit Singh Bedi
Alec Koppel
Mengdi Wang
Furong Huang
Dinesh Manocha
296
9
0
28 Jan 2023
Posterior Coreset Construction with Kernelized Stein Discrepancy for
  Model-Based Reinforcement Learning
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Souradip Chakraborty
Amrit Singh Bedi
Alec Koppel
Brian M. Sadler
Furong Huang
Erfaun Noorani
Tianyi Zhou
271
10
0
02 Jun 2022
A Study of Policy Gradient on a Class of Exactly Solvable Models
A Study of Policy Gradient on a Class of Exactly Solvable Models
Gavin McCracken
Colin Daniels
Rosie Zhao
Anna M. Brandenberger
Prakash Panangaden
Doina Precup
171
0
0
03 Nov 2020
1
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