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Diffusing States and Matching Scores: A New Framework for Imitation Learning

Diffusing States and Matching Scores: A New Framework for Imitation Learning

17 October 2024
Runzhe Wu
Yiding Chen
Gokul Swamy
Kianté Brantley
Wen Sun
    DiffM
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Papers citing "Diffusing States and Matching Scores: A New Framework for Imitation Learning"

15 / 65 papers shown
Title
Provably Efficient Imitation Learning from Observation Alone
Provably Efficient Imitation Learning from Observation Alone
Wen Sun
Anirudh Vemula
Byron Boots
J. Andrew Bagnell
163
107
0
27 May 2019
Information-Theoretic Considerations in Batch Reinforcement Learning
Information-Theoretic Considerations in Batch Reinforcement Learning
Jinglin Chen
Nan Jiang
OOD
OffRL
156
376
0
01 May 2019
An Algorithmic Perspective on Imitation Learning
An Algorithmic Perspective on Imitation Learning
Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
83
844
0
16 Nov 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward
  Bias in Adversarial Imitation Learning
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov
Kumar Krishna Agrawal
Debidatta Dwibedi
Sergey Levine
Jonathan Tompson
79
260
0
09 Sep 2018
Behavioral Cloning from Observation
Behavioral Cloning from Observation
F. Torabi
Garrett A. Warnell
Peter Stone
OffRL
113
724
0
04 May 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
155
4,437
0
16 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
302
8,334
0
04 Jan 2018
DeepMind Control Suite
DeepMind Control Suite
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
...
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
ELM
LM&Ro
BDL
133
1,134
0
02 Jan 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu
Katie Z Luo
Sergey Levine
127
753
0
30 Oct 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
127
235
0
03 Mar 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
79
2,106
0
17 Jan 2017
A Connection between Generative Adversarial Networks, Inverse
  Reinforcement Learning, and Energy-Based Models
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
Chelsea Finn
Paul Christiano
Pieter Abbeel
Sergey Levine
OffRL
AI4CE
GAN
62
354
0
11 Nov 2016
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
140
3,106
0
10 Jun 2016
Reinforcement and Imitation Learning via Interactive No-Regret Learning
Reinforcement and Imitation Learning via Interactive No-Regret Learning
Stéphane Ross
J. Andrew Bagnell
OffRL
144
264
0
23 Jun 2014
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
216
3,216
0
02 Nov 2010
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