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Hyperparameter Selection for Imitation Learning

Hyperparameter Selection for Imitation Learning

25 May 2021
Léonard Hussenot
Marcin Andrychowicz
Damien Vincent
Robert Dadashi
Anton Raichuk
Lukasz Stafiniak
Sertan Girgin
Raphaël Marinier
Nikola Momchev
Sabela Ramos
Manu Orsini
Olivier Bachem
M. Geist
Olivier Pietquin
ArXivPDFHTML

Papers citing "Hyperparameter Selection for Imitation Learning"

8 / 8 papers shown
Title
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
Christopher P. Diehl
Peter Karkus
Sushant Veer
Marco Pavone
Torsten Bertram
140
0
0
13 Oct 2024
Imitating Human Behaviour with Diffusion Models
Imitating Human Behaviour with Diffusion Models
Tim Pearce
Tabish Rashid
Anssi Kanervisto
David Bignell
Mingfei Sun
...
Sergio Valcarcel Macua
Shan Zheng Tan
Ida Momennejad
Katja Hofmann
Sam Devlin
DiffM
37
203
0
25 Jan 2023
UniMASK: Unified Inference in Sequential Decision Problems
UniMASK: Unified Inference in Sequential Decision Problems
Micah Carroll
Orr Paradise
Jessy Lin
Raluca Georgescu
Mingfei Sun
...
Stephanie Milani
Katja Hofmann
Matthew J. Hausknecht
Anca Dragan
Sam Devlin
OffRL
26
21
0
20 Nov 2022
Extraneousness-Aware Imitation Learning
Extraneousness-Aware Imitation Learning
Rachel Zheng
Kaizhe Hu
Zhecheng Yuan
Boyuan Chen
Huazhe Xu
SSL
30
3
0
04 Oct 2022
Continuous Control with Action Quantization from Demonstrations
Continuous Control with Action Quantization from Demonstrations
Robert Dadashi
Léonard Hussenot
Damien Vincent
Sertan Girgin
Anton Raichuk
M. Geist
Olivier Pietquin
OffRL
33
23
0
19 Oct 2021
A Pragmatic Look at Deep Imitation Learning
A Pragmatic Look at Deep Imitation Learning
Kai Arulkumaran
D. Lillrank
29
9
0
04 Aug 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
341
0
14 Sep 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
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