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VIME: Variational Information Maximizing Exploration

VIME: Variational Information Maximizing Exploration

31 May 2016
Rein Houthooft
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
ArXivPDFHTML

Papers citing "VIME: Variational Information Maximizing Exploration"

16 / 16 papers shown
Title
Using Curiosity for an Even Representation of Tasks in Continual Offline
  Reinforcement Learning
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning
Pathmanathan Pankayaraj
Natalia Díaz Rodríguez
Javier Del Ser
CLL
OffRL
43
0
0
05 Dec 2023
Active Sensing with Predictive Coding and Uncertainty Minimization
Active Sensing with Predictive Coding and Uncertainty Minimization
A. Sharafeldin
N. Imam
Hannah Choi
25
3
0
02 Jul 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control
  via Sample Multiple Reuse
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse
Jiafei Lyu
Le Wan
Zongqing Lu
Xiu Li
OffRL
36
9
0
29 May 2023
APS: Active Pretraining with Successor Features
APS: Active Pretraining with Successor Features
Hao Liu
Pieter Abbeel
52
119
0
31 Aug 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
Chen Wang
Claudia Pérez-DÁrpino
Danfei Xu
Li Fei-Fei
Chenxi Liu
Silvio Savarese
42
33
0
13 Aug 2021
LEAF: Latent Exploration Along the Frontier
LEAF: Latent Exploration Along the Frontier
Homanga Bharadhwaj
Animesh Garg
Florian Shkurti
29
1
0
21 May 2020
Reinforcement Learning through Active Inference
Reinforcement Learning through Active Inference
Alexander Tschantz
Beren Millidge
A. Seth
Christopher L. Buckley
AI4CE
31
69
0
28 Feb 2020
Deep Active Inference as Variational Policy Gradients
Deep Active Inference as Variational Policy Gradients
Beren Millidge
BDL
32
103
0
08 Jul 2019
Learning-Driven Exploration for Reinforcement Learning
Learning-Driven Exploration for Reinforcement Learning
Muhammad Usama
D. Chang
29
10
0
17 Jun 2019
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning
Francisco M. Garcia
Philip S. Thomas
24
38
0
03 Feb 2019
A Comprehensive guide to Bayesian Convolutional Neural Network with
  Variational Inference
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference
Kumar Shridhar
F. Laumann
Marcus Liwicki
BDL
UQCV
34
170
0
08 Jan 2019
Learning Actionable Representations with Goal-Conditioned Policies
Learning Actionable Representations with Goal-Conditioned Policies
Dibya Ghosh
Abhishek Gupta
Sergey Levine
32
109
0
19 Nov 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
A. Laversanne-Finot
Alexandre Péré
Pierre-Yves Oudeyer
DRL
27
87
0
04 Jul 2018
Graph networks as learnable physics engines for inference and control
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez
N. Heess
Jost Tobias Springenberg
J. Merel
Martin Riedmiller
R. Hadsell
Peter W. Battaglia
GNN
AI4CE
PINN
OCL
42
595
0
04 Jun 2018
Emotion in Reinforcement Learning Agents and Robots: A Survey
Emotion in Reinforcement Learning Agents and Robots: A Survey
Thomas M. Moerland
Joost Broekens
Catholijn M. Jonker
AI4CE
21
162
0
15 May 2017
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for
  Task-Oriented Dialogue Systems
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems
Zachary Chase Lipton
Xiujun Li
Jianfeng Gao
Lihong Li
Faisal Ahmed
Li Deng
40
6
0
17 Aug 2016
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