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Curiosity-driven Exploration by Self-supervised Prediction

Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
    LRM
    SSL
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Papers citing "Curiosity-driven Exploration by Self-supervised Prediction"

50 / 468 papers shown
Title
Epistemic Risk-Sensitive Reinforcement Learning
Epistemic Risk-Sensitive Reinforcement Learning
Hannes Eriksson
Christos Dimitrakakis
19
29
0
14 Jun 2019
Fast Task Inference with Variational Intrinsic Successor Features
Fast Task Inference with Variational Intrinsic Successor Features
Steven Hansen
Will Dabney
André Barreto
T. Wiele
David Warde-Farley
Volodymyr Mnih
BDL
44
151
0
12 Jun 2019
Generative Adversarial Networks are Special Cases of Artificial
  Curiosity (1990) and also Closely Related to Predictability Minimization
  (1991)
Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991)
J. Schmidhuber
GAN
DRL
17
57
0
11 Jun 2019
Weight Agnostic Neural Networks
Weight Agnostic Neural Networks
Adam Gaier
David R Ha
OOD
38
239
0
11 Jun 2019
Self-Supervised Exploration via Disagreement
Self-Supervised Exploration via Disagreement
Deepak Pathak
Dhiraj Gandhi
Abhinav Gupta
SSL
35
375
0
10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
John Lanier
Stephen Marcus McAleer
Pierre Baldi
OffRL
10
25
0
09 Jun 2019
Adaptive Symmetric Reward Noising for Reinforcement Learning
Adaptive Symmetric Reward Noising for Reinforcement Learning
R. Vivanti
Talya D. Sohlberg-Baris
Shlomo Cohen
Orna Cohen
AAML
13
1
0
24 May 2019
Differentiable Game Mechanics
Differentiable Game Mechanics
Alistair Letcher
David Balduzzi
S. Racanière
James Martens
Jakob N. Foerster
K. Tuyls
T. Graepel
37
79
0
13 May 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Yilun Du
Karthik R. Narasimhan
19
33
0
13 May 2019
Risk Averse Robust Adversarial Reinforcement Learning
Risk Averse Robust Adversarial Reinforcement Learning
Xinlei Pan
Daniel Seita
Yang Gao
John F. Canny
AAML
16
96
0
31 Mar 2019
Autoregressive Policies for Continuous Control Deep Reinforcement
  Learning
Autoregressive Policies for Continuous Control Deep Reinforcement Learning
D. Korenkevych
A. R. Mahmood
Gautham Vasan
James Bergstra
19
28
0
27 Mar 2019
Using RGB Image as Visual Input for Mapless Robot Navigation
Using RGB Image as Visual Input for Mapless Robot Navigation
Liulong Ma
Yanjie Liu
Jiao Chen
SSL
39
17
0
24 Mar 2019
DQN with model-based exploration: efficient learning on environments
  with sparse rewards
DQN with model-based exploration: efficient learning on environments with sparse rewards
Stephen Gou
Yuyang Liu
11
14
0
22 Mar 2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep
  Reinforcement Learning
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning
Sandy H. Huang
Martina Zambelli
Jackie Kay
M. Martins
Yuval Tassa
P. Pilarski
R. Hadsell
18
50
0
20 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong
Murtaza Dalal
Steven Lin
Ashvin Nair
Shikhar Bahl
Sergey Levine
OffRL
SSL
33
269
0
08 Mar 2019
World Discovery Models
World Discovery Models
M. G. Azar
Bilal Piot
Bernardo Avila-Pires
Jean-Bastien Grill
Florent Altché
Rémi Munos
21
26
0
20 Feb 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
16
38
0
03 Feb 2019
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through
  Likelihood Matching
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching
Tom Zahavy
Shie Mannor
HAI
33
30
0
24 Jan 2019
Never Forget: Balancing Exploration and Exploitation via Learning
  Optical Flow
Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow
Hsuan-Kung Yang
Po-Han Chiang
Kuan-Wei Ho
Min-Fong Hong
Chun-Yi Lee
35
7
0
24 Jan 2019
Open-ended Learning in Symmetric Zero-sum Games
Open-ended Learning in Symmetric Zero-sum Games
David Balduzzi
M. Garnelo
Yoram Bachrach
Wojciech M. Czarnecki
Julien Perolat
Max Jaderberg
T. Graepel
11
167
0
23 Jan 2019
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's
  Mission Execution
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution
G. Lee
Chang Ouk Kim
18
4
0
17 Jan 2019
What Should I Do Now? Marrying Reinforcement Learning and Symbolic
  Planning
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning
Daniel Gordon
Dieter Fox
Ali Farhadi
19
20
0
06 Jan 2019
Malthusian Reinforcement Learning
Malthusian Reinforcement Learning
Joel Z Leibo
Julien Perolat
Edward Hughes
S. Wheelwright
Adam H. Marblestone
Edgar A. Duénez-Guzmán
P. Sunehag
Iain Dunning
T. Graepel
AI4CE
33
37
0
17 Dec 2018
On the potential for open-endedness in neural networks
On the potential for open-endedness in neural networks
N. Guttenberg
N. Virgo
A. Penn
21
10
0
12 Dec 2018
Learning Montezuma's Revenge from a Single Demonstration
Learning Montezuma's Revenge from a Single Demonstration
Tim Salimans
Richard J. Chen
33
136
0
08 Dec 2018
Provably Efficient Maximum Entropy Exploration
Provably Efficient Maximum Entropy Exploration
Elad Hazan
Sham Kakade
Karan Singh
A. V. Soest
33
293
0
06 Dec 2018
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using
  Meta-Learning
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
Mitchell Wortsman
Kiana Ehsani
Mohammad Rastegari
Ali Farhadi
Roozbeh Mottaghi
SSL
25
222
0
03 Dec 2018
Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for
  Deep Transparent Reinforcement Learning
Towards Governing Agent's Efficacy: Action-Conditional βββ-VAE for Deep Transparent Reinforcement Learning
John Yang
Gyujeong Lee
Minsung Hyun
Simyung Chang
Nojun Kwak
29
3
0
11 Nov 2018
Contingency-Aware Exploration in Reinforcement Learning
Contingency-Aware Exploration in Reinforcement Learning
Jongwook Choi
Yijie Guo
Marcin Moczulski
Junhyuk Oh
Neal Wu
Mohammad Norouzi
Honglak Lee
6
73
0
05 Nov 2018
Model-Based Active Exploration
Model-Based Active Exploration
Pranav Shyam
Wojciech Ja'skowski
Faustino J. Gomez
24
178
0
29 Oct 2018
Social Influence as Intrinsic Motivation for Multi-Agent Deep
  Reinforcement Learning
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
Natasha Jaques
Angeliki Lazaridou
Edward Hughes
Çağlar Gülçehre
Pedro A. Ortega
D. Strouse
Joel Z Leibo
Nando de Freitas
31
57
0
19 Oct 2018
At Human Speed: Deep Reinforcement Learning with Action Delay
At Human Speed: Deep Reinforcement Learning with Action Delay
Vlad Firoiu
Tina Ju
J. Tenenbaum
11
36
0
16 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional
  Neural Networks
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
Fabio Pardo
Vitaly Levdik
Petar Kormushev
25
4
0
06 Oct 2018
Episodic Curiosity through Reachability
Episodic Curiosity through Reachability
Nikolay Savinov
Anton Raichuk
Raphaël Marinier
Damien Vincent
Marc Pollefeys
Timothy Lillicrap
Sylvain Gelly
14
266
0
04 Oct 2018
Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction
Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction
Alban Laflaquière
Michael Garcia Ortiz
12
3
0
02 Oct 2018
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State
  Representation Learning
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
Antonin Raffin
Ashley Hill
Kalifou René Traoré
Timothée Lesort
Natalia Díaz Rodríguez
David Filliat
OffRL
8
35
0
25 Sep 2018
Switching Isotropic and Directional Exploration with Parameter Space
  Noise in Deep Reinforcement Learning
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning
Izumi Karino
Kazutoshi Tanaka
Ryuma Niiyama
Y. Kuniyoshi
19
3
0
18 Sep 2018
ViZDoom Competitions: Playing Doom from Pixels
ViZDoom Competitions: Playing Doom from Pixels
Marek Wydmuch
Michal Kempka
Wojciech Ja'skowski
29
119
0
10 Sep 2018
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge
Michal Garmulewicz
Henryk Michalewski
Piotr Milos
16
8
0
10 Sep 2018
Unity: A General Platform for Intelligent Agents
Unity: A General Platform for Intelligent Agents
Arthur Juliani
Vincent-Pierre Berges
Esh Vckay
Andrew Cohen
Jonathan Harper
...
Chris Goy
Yuan Gao
Hunter Henry
Marwan Mattar
Danny Lange
16
808
0
07 Sep 2018
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience
  Replay
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay
Sameera Lanka
Tianfu Wu
25
30
0
06 Sep 2018
Recurrent World Models Facilitate Policy Evolution
Recurrent World Models Facilitate Policy Evolution
David R Ha
Jürgen Schmidhuber
SyDa
TPM
34
919
0
04 Sep 2018
ToriLLE: Learning Environment for Hand-to-Hand Combat
ToriLLE: Learning Environment for Hand-to-Hand Combat
Anssi Kanervisto
Ville Hautamaki
26
2
0
26 Jul 2018
Visual Reinforcement Learning with Imagined Goals
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair
Vitchyr H. Pong
Murtaza Dalal
Shikhar Bahl
Steven Lin
Sergey Levine
SSL
38
535
0
12 Jul 2018
Latent Space Autoregression for Novelty Detection
Latent Space Autoregression for Novelty Detection
Davide Abati
Angelo Porrello
Simone Calderara
Rita Cucchiara
16
432
0
04 Jul 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
24
87
0
04 Jul 2018
Multi-objective Model-based Policy Search for Data-efficient Learning
  with Sparse Rewards
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
Rituraj Kaushik
Konstantinos Chatzilygeroudis
Jean-Baptiste Mouret
31
19
0
25 Jun 2018
A unified strategy for implementing curiosity and empowerment driven
  reinforcement learning
A unified strategy for implementing curiosity and empowerment driven reinforcement learning
Ildefons Magrans de Abril
Ryota Kanai
17
18
0
18 Jun 2018
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
Zero-Shot Visual Imitation
Zero-Shot Visual Imitation
Deepak Pathak
Parsa Mahmoudieh
Guanghao Luo
Pulkit Agrawal
Dian Chen
Yide Shentu
Evan Shelhamer
Jitendra Malik
Alexei A. Efros
Trevor Darrell
LM&Ro
63
298
0
23 Apr 2018
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