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Reinforcement and Imitation Learning via Interactive No-Regret Learning

Reinforcement and Imitation Learning via Interactive No-Regret Learning

23 June 2014
Stéphane Ross
J. Andrew Bagnell
    OffRL
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Papers citing "Reinforcement and Imitation Learning via Interactive No-Regret Learning"

6 / 6 papers shown
Title
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
Zhaolin Gao
Wenhao Zhan
Jonathan D. Chang
Gokul Swamy
Kianté Brantley
Jason D. Lee
Wen Sun
OffRL
119
6
0
06 Oct 2024
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
Xuefeng Liu
Chih-chan Tien
Peng Ding
Songhao Jiang
Rick L. Stevens
77
5
0
11 Jun 2024
Adaptive Information Gathering via Imitation Learning
Adaptive Information Gathering via Imitation Learning
Sanjiban Choudhury
Ashish Kapoor
G. Ranade
Sebastian Scherer
Debadeepta Dey
53
22
0
22 May 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential
  Prediction
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
Wen Sun
Arun Venkatraman
Geoffrey J. Gordon
Byron Boots
J. Andrew Bagnell
115
235
0
03 Mar 2017
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep
  Learning from Demonstrations
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations
Michael Laskey
Caleb Chuck
Jonathan Lee
Jeffrey Mahler
S. Krishnan
Kevin Jamieson
Anca Dragan
Ken Goldberg
56
74
0
04 Oct 2016
The Interplay Between Stability and Regret in Online Learning
The Interplay Between Stability and Regret in Online Learning
Ankan Saha
Prateek Jain
Ambuj Tewari
43
15
0
26 Nov 2012
1