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Optimistic Planning by Regularized Dynamic Programming

Optimistic Planning by Regularized Dynamic Programming

27 February 2023
Antoine Moulin
Gergely Neu
ArXivPDFHTML

Papers citing "Optimistic Planning by Regularized Dynamic Programming"

6 / 6 papers shown
Title
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
Stefano Viel
Luca Viano
V. Cevher
92
0
0
27 Feb 2025
Operator World Models for Reinforcement Learning
Operator World Models for Reinforcement Learning
P. Novelli
Marco Prattico
Massimiliano Pontil
C. Ciliberto
OffRL
44
0
0
28 Jun 2024
Bisimulation Metrics are Optimal Transport Distances, and Can be
  Computed Efficiently
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
Sergio Calo
Anders Jonsson
Gergely Neu
Ludovic Schwartz
Javier Segovia
OT
45
1
0
06 Jun 2024
Imitation Learning in Discounted Linear MDPs without exploration
  assumptions
Imitation Learning in Discounted Linear MDPs without exploration assumptions
Luca Viano
Stratis Skoulakis
V. Cevher
30
3
0
03 May 2024
Regret Bounds for Stochastic Shortest Path Problems with Linear Function
  Approximation
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation
Daniel Vial
Advait Parulekar
Sanjay Shakkottai
R. Srikant
42
15
0
04 May 2021
Provably Efficient Reinforcement Learning with Linear Function
  Approximation Under Adaptivity Constraints
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Chi Jin
Zhuoran Yang
Zhaoran Wang
OffRL
122
167
0
06 Jan 2021
1