The Value Function Polytope in Reinforcement Learning

Type: Article

Publication Date: 2019-05-24

Citations: 11

Locations

  • arXiv (Cornell University) - View

Similar Works

Action Title Year Authors
+ The Value Function Polytope in Reinforcement Learning 2019 Robert Dadashi
Adrien Ali Taïga
Nicolas Le Roux
Dale Schuurmans
Marc G. Bellemare
+ The Value Function Polytope in Reinforcement Learning 2019 Robert Dadashi
Adrien Ali Taïga
Nicolas Le Roux
Dale Schuurmans
Marc G. Bellemare
+ PDF Chat Geometric Policy Iteration for Markov Decision Processes 2022 Yue Wu
Jesús A. De Loera
+ The Geometry of Robust Value Functions 2022 Kaixin Wang
Navdeep Kumar
Kuangqi Zhou
Bryan Hooi
Jiashi Feng
Shie Mannor
+ PDF Chat Topological Foundations of Reinforcement Learning 2024 David Krame Kadurha
+ Agent Spaces 2021 John C. Raisbeck
Matthew W. Allen
Hakho Lee
+ A Geometric Perspective on Optimal Representations for Reinforcement Learning 2019 Marc G. Bellemare
Will Dabney
Robert Dadashi
Adrien Ali Taïga
Pablo Samuel Castro
Nicolas Le Roux
Dale Schuurmans
Tor Lattimore
Clare Lyle
+ On the Geometry of Reinforcement Learning in Continuous State and Action Spaces 2023 Saket Tiwari
Omer Gottesman
George Konidaris
+ Understanding the Evolution of Linear Regions in Deep Reinforcement Learning 2022 Setareh Cohen
Nam Hee Kim
David Rolnick
Michiel van de Panne
+ The Gambler's Problem and Beyond 2020 Baoxiang Wang
Shuai Li
Jiajin Li
Siu On Chan
+ Beyond dynamic programming 2023 Abhinav Muraleedharan
+ PDF Chat Reinforcement Learning with Options 2024 Ayoub Ghriss
Masashi Sugiyama
Alessandro Lazaric
+ Learning with Value-Ramp 2016 Tom J. Ameloot
Jan Van den Bussche
+ Environment Shaping in Reinforcement Learning using State Abstraction 2020 Parameswaran Kamalaruban
Rati Devidze
Volkan Cevher
Adish Singla
+ Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments 2022 Ryan J. Sullivan
J. K. Terry
Benjamin A. Black
John P. Dickerson
+ On Reward Structures of Markov Decision Processes 2023 Falcon Z. Dai
+ The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces 2018 Gerhard Holland
Erik Talvitie
Michael Bowling
+ Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning 2019 Harm van Seijen
Mehdi Fatemi
Arash Tavakoli
+ Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning 2019 Harm van Seijen
Mehdi Fatemi
Arash Tavakoli
+ Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning 2019 Harm van Seijen
Mehdi Fatemi
Arash Tavakoli

Works That Cite This (10)

Action Title Year Authors
+ GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning 2021 Jiajun Fan
Changnan Xiao
Yue Huang
+ Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences 2021 Alan Chan
Hugo Silva
Sungsu Lim
Tadashi Kozuno
A. Rupam Mahmood
Martha White
+ The Value Equivalence Principle for Model-Based Reinforcement Learning 2020 Christopher Grimm
André Barreto
Satinder Singh
David Silver
+ Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model 2019 Alex X. Lee
Anusha Nagabandi
Pieter Abbeel
Sergey Levine
+ The Information Geometry of Unsupervised Reinforcement Learning 2021 Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
+ Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL 2021 Yanchao Sun
Ruijie Zheng
Yongyuan Liang
Furong Huang
+ Bounding Fixed Points of Set-Based Bellman Operator and Nash Equilibria of Stochastic Games 2020 Sarah H. Q. Li
Assalé
Adjé
Pierre-Loïc Garoche
Behçet Açıkmeşe
+ The Value-Improvement Path: Towards Better Representations for Reinforcement Learning. 2020 Will Dabney
André Barreto
Mark Rowland
Robert Dadashi
John Quan
Marc G. Bellemare
David Silver
+ PDF Chat Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation 2022 Evgenii Nikishin
Romina Abachi
Rishabh Agarwal
Pierre‐Luc Bacon
+ An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning 2021 Changnan Xiao
Haosen Shi
Jiajun Fan
Shihong Deng

Works Cited by This (0)

Action Title Year Authors