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Model-based micro-data reinforcement learning: what are the crucial
  model properties and which model to choose?

Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?

24 July 2021
Balázs Kégl
Gabriel Hurtado
Albert Thomas
ArXivPDFHTML

Papers citing "Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?"

12 / 12 papers shown
Title
Zero-shot Model-based Reinforcement Learning using Large Language Models
Zero-shot Model-based Reinforcement Learning using Large Language Models
Abdelhakim Benechehab
Youssef Attia El Hili
Ambroise Odonnat
Oussama Zekri
Albert Thomas
Giuseppe Paolo
Maurizio Filippone
I. Redko
Balázs Kégl
OffRL
108
1
0
17 Feb 2025
Model-Based Offline Planning
Model-Based Offline Planning
Arthur Argenson
Gabriel Dulac-Arnold
OffRL
52
154
0
12 Aug 2020
Selective Dyna-style Planning Under Limited Model Capacity
Selective Dyna-style Planning Under Limited Model Capacity
Zaheer Abbas
Samuel Sokota
Erin J. Talvitie
Martha White
62
33
0
05 Jul 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy
  Search and Planning
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
Sebastian Curi
Felix Berkenkamp
Andreas Krause
67
83
0
15 Jun 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction
  to Concepts and Methods
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Eyke Hüllermeier
Willem Waegeman
PER
UD
202
1,405
0
21 Oct 2019
Benchmarking Model-Based Reinforcement Learning
Benchmarking Model-Based Reinforcement Learning
Tingwu Wang
Xuchan Bao
I. Clavera
Jerrick Hoang
Yeming Wen
Eric D. Langlois
Matthew Shunshi Zhang
Guodong Zhang
Pieter Abbeel
Jimmy Ba
OffRL
59
363
0
03 Jul 2019
Exploring Model-based Planning with Policy Networks
Exploring Model-based Planning with Policy Networks
Tingwu Wang
Jimmy Ba
71
148
0
20 Jun 2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
Tom Schaul
Diana Borsa
Joseph Modayil
Razvan Pascanu
53
63
0
25 Apr 2019
Masked Autoregressive Flow for Density Estimation
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
177
1,351
0
19 May 2017
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
204
5,073
0
05 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
237
78
0
26 May 2016
RNADE: The real-valued neural autoregressive density-estimator
RNADE: The real-valued neural autoregressive density-estimator
Benigno Uria
Iain Murray
Hugo Larochelle
92
238
0
02 Jun 2013
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