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From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven
  Learning in Artificial Intelligence Tasks

From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks

20 January 2022
Chenyu Sun
Hangwei Qian
Chunyan Miao
ArXivPDFHTML

Papers citing "From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks"

22 / 22 papers shown
Title
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
50
8
0
12 Jul 2021
Prioritized Level Replay
Prioritized Level Replay
Minqi Jiang
Edward Grefenstette
Tim Rocktaschel
OffRL
55
158
0
08 Oct 2020
Intrinsic Reward Driven Imitation Learning via Generative Model
Intrinsic Reward Driven Imitation Learning via Generative Model
Xingrui Yu
Yueming Lyu
Ivor W. Tsang
35
54
0
26 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Andres Campero
Roberta Raileanu
Heinrich Küttler
J. Tenenbaum
Tim Rocktaschel
Edward Grefenstette
76
127
0
22 Jun 2020
Reinforcement Learning with Augmented Data
Reinforcement Learning with Augmented Data
Michael Laskin
Kimin Lee
Adam Stooke
Lerrel Pinto
Pieter Abbeel
A. Srinivas
OffRL
81
660
0
30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement
  Learning from Pixels
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
96
790
0
28 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
83
1,087
0
08 Apr 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated
  Environments
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
Roberta Raileanu
Tim Rocktaschel
62
173
0
27 Feb 2020
Improving Sample Efficiency in Model-Free Reinforcement Learning from
  Images
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats
Amy Zhang
Ilya Kostrikov
Brandon Amos
Joelle Pineau
Rob Fergus
DRL
100
446
0
02 Oct 2019
A survey on intrinsic motivation in reinforcement learning
A survey on intrinsic motivation in reinforcement learning
A. Aubret
L. Matignon
S. Hassas
AI4CE
71
144
0
19 Aug 2019
Self-Supervised Exploration via Disagreement
Self-Supervised Exploration via Disagreement
Deepak Pathak
Dhiraj Gandhi
Abhinav Gupta
SSL
76
382
0
10 Jun 2019
Curiosity-Driven Experience Prioritization via Density Estimation
Curiosity-Driven Experience Prioritization via Density Estimation
Rui Zhao
Volker Tresp
102
54
0
20 Feb 2019
Soft Actor-Critic Algorithms and Applications
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja
Aurick Zhou
Kristian Hartikainen
George Tucker
Sehoon Ha
...
Vikash Kumar
Henry Zhu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
136
2,425
0
13 Dec 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
The Uncertainty Bellman Equation and Exploration
The Uncertainty Bellman Equation and Exploration
Brendan O'Donoghue
Ian Osband
Rémi Munos
Volodymyr Mnih
63
191
0
15 Sep 2017
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
Ofir Nachum
Mohammad Norouzi
Kelvin Xu
Dale Schuurmans
66
106
0
06 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
106
2,437
0
15 May 2017
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
823
11,899
0
09 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja
Haoran Tang
Pieter Abbeel
Sergey Levine
100
1,340
0
27 Feb 2017
Unifying Count-Based Exploration and Intrinsic Motivation
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
167
1,478
0
06 Jun 2016
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
217
3,788
0
18 Nov 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
125
12,227
0
19 Dec 2013
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