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Efficient Exploration via State Marginal Matching

Efficient Exploration via State Marginal Matching

12 June 2019
Lisa Lee
Benjamin Eysenbach
Emilio Parisotto
Eric Xing
Sergey Levine
Ruslan Salakhutdinov
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Papers citing "Efficient Exploration via State Marginal Matching"

21 / 71 papers shown
Title
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu
Unnat Jain
Raymond A. Yeh
A. Schwing
42
104
0
23 Jul 2021
Explore and Control with Adversarial Surprise
Explore and Control with Adversarial Surprise
Arnaud Fickinger
Natasha Jaques
Samyak Parajuli
Michael Chang
Nicholas Rhinehart
Glen Berseth
Stuart J. Russell
Sergey Levine
40
8
0
12 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative
  Coding
Backprop-Free Reinforcement Learning with Active Neural Generative Coding
Alexander Ororbia
A. Mali
41
15
0
10 Jul 2021
Applications of the Free Energy Principle to Machine Learning and
  Neuroscience
Applications of the Free Energy Principle to Machine Learning and Neuroscience
Beren Millidge
DRL
22
7
0
30 Jun 2021
Exploration and preference satisfaction trade-off in reward-free
  learning
Exploration and preference satisfaction trade-off in reward-free learning
Noor Sajid
P. Tigas
Alexey Zakharov
Z. Fountas
Karl J. Friston
22
20
0
08 Jun 2021
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
M. Geist
Julien Pérolat
Mathieu Laurière
Romuald Elie
Sarah Perrin
Olivier Bachem
Rémi Munos
Olivier Pietquin
37
62
0
07 Jun 2021
SoftDICE for Imitation Learning: Rethinking Off-policy Distribution
  Matching
SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching
Min Sun
Anuj Mahajan
Katja Hofmann
Shimon Whiteson
OffRL
18
12
0
06 Jun 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models
Rapid Exploration for Open-World Navigation with Latent Goal Models
Dhruv Shah
Benjamin Eysenbach
G. Kahn
Nicholas Rhinehart
Sergey Levine
32
70
0
12 Apr 2021
Behavior From the Void: Unsupervised Active Pre-Training
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu
Pieter Abbeel
VLM
SSL
41
195
0
08 Mar 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Victor Campos
Pablo Sprechmann
Steven Hansen
André Barreto
Steven Kapturowski
Alex Vitvitskyi
Adria Puigdomenech Badia
Charles Blundell
OffRL
OnRL
38
25
0
24 Feb 2021
Geometric Entropic Exploration
Geometric Entropic Exploration
Z. Guo
M. G. Azar
Alaa Saade
S. Thakoor
Bilal Piot
Bernardo Avila-Pires
Michal Valko
Thomas Mesnard
Tor Lattimore
Rémi Munos
38
30
0
06 Jan 2021
BeBold: Exploration Beyond the Boundary of Explored Regions
BeBold: Exploration Beyond the Boundary of Explored Regions
Tianjun Zhang
Huazhe Xu
Xiaolong Wang
Yi Wu
Kurt Keutzer
Joseph E. Gonzalez
Yuandong Tian
36
40
0
15 Dec 2020
Reinforcement Learning with Videos: Combining Offline Observations with
  Interaction
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Karl Schmeckpeper
Oleh Rybkin
Kostas Daniilidis
Sergey Levine
Chelsea Finn
OffRL
16
105
0
12 Nov 2020
Continual Learning of Control Primitives: Skill Discovery via
  Reset-Games
Continual Learning of Control Primitives: Skill Discovery via Reset-Games
Kelvin Xu
Siddharth Verma
Chelsea Finn
Sergey Levine
CLL
33
33
0
10 Nov 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
Tianwei Ni
Harshit S. Sikchi
Yufei Wang
Tejus Gupta
Lisa Lee
Benjamin Eysenbach
13
72
0
09 Nov 2020
Imitation with Neural Density Models
Imitation with Neural Density Models
Kuno Kim
Akshat Jindal
Yang Song
Jiaming Song
Yanan Sui
Stefano Ermon
39
11
0
19 Oct 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State
  Entropy Estimate
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
Mirco Mutti
Lorenzo Pratissoli
Marcello Restelli
11
19
0
09 Jul 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Lisa Lee
Benjamin Eysenbach
Ruslan Salakhutdinov
S. Gu
Chelsea Finn
SSL
22
26
0
06 Apr 2020
Reinforcement Learning through Active Inference
Reinforcement Learning through Active Inference
Alexander Tschantz
Beren Millidge
A. Seth
Christopher L. Buckley
AI4CE
26
69
0
28 Feb 2020
Unsupervised Meta-Learning for Reinforcement Learning
Unsupervised Meta-Learning for Reinforcement Learning
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSL
OffRL
54
106
0
12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
413
11,715
0
09 Mar 2017
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