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Developmental Curiosity and Social Interaction in Virtual Agents

Developmental Curiosity and Social Interaction in Virtual Agents

22 May 2023
Christopher Doyle
Sarah Shader
M. Lau
Megumi Sano
Daniel L. K. Yamins
Nick Haber
    LRM
ArXivPDFHTML

Papers citing "Developmental Curiosity and Social Interaction in Virtual Agents"

12 / 12 papers shown
Title
Planning to Explore via Self-Supervised World Models
Planning to Explore via Self-Supervised World Models
Ramanan Sekar
Oleh Rybkin
Kostas Daniilidis
Pieter Abbeel
Danijar Hafner
Deepak Pathak
SSL
60
406
0
12 May 2020
Self-Supervised Exploration via Disagreement
Self-Supervised Exploration via Disagreement
Deepak Pathak
Dhiraj Gandhi
Abhinav Gupta
SSL
73
381
0
10 Jun 2019
Exploration by Random Network Distillation
Exploration by Random Network Distillation
Yuri Burda
Harrison Edwards
Amos Storkey
Oleg Klimov
155
1,329
0
30 Oct 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
78
819
0
07 Sep 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents
Learning to Play with Intrinsically-Motivated Self-Aware Agents
Nick Haber
Damian Mrowca
Li Fei-Fei
Daniel L. K. Yamins
LRM
60
120
0
21 Feb 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
473
19,006
0
20 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
2,436
0
15 May 2017
Automated Curriculum Learning for Neural Networks
Automated Curriculum Learning for Neural Networks
Alex Graves
Marc G. Bellemare
Jacob Menick
Rémi Munos
Koray Kavukcuoglu
74
523
0
10 Apr 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Joshua Achiam
S. Shankar Sastry
69
237
0
06 Mar 2017
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
382
441
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
524
1,408
0
01 Dec 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
  Learning
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
89
771
0
15 Nov 2016
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