引用次数
引用: 1,936
H-指数: 20
I10-指数 : 31
出版物: 99
Forecasting of dynamic environmental parameters to optimize operation of a wireless communication system
Mikko Aleksi Uusitalo , Ari Hottinen , Jaakko Tapani Peltonen , Joni Kristian Pajarinen
13
2014
Periodic Access Control
Ari Hottinen , Jaakko Tapani Peltonen , Joni Kristian Pajarinen
5
2013
Signal transmission
Joni Kristian Pajarinen , Jaakko Tapani Peltonen , Ari Tapani Hottinen
1
2016
Efficient planning for factored infinite-horizon DEC-POMDPs
Jaakko Peltonen , Joni Pajarinen
international joint conference on artificial intelligence 325 -331
21
2011
Sparse latent space policy search
Ville Kyrki , Heni Ben Amor , Erik Berger , Kevin Sebastian Luck
national conference on artificial intelligence 1911 -1918
6
2016
Planning under uncertainty for large-scale problems with applications to wireless networking
Joni Pajarinen
Aalto University
2013
An Algorithmic Perspective on Imitation Learning
Pieter Abbeel , J. Andrew Bagnell , Takayuki Osa , Gerhard Neumann
582
2018
Projections for Approximate Policy Iteration Algorithms
Gerhard Neumann , Jan Peters , Joni Pajarinen , Riad Akrour
international conference on machine learning 181 -190
8
2019
Hybrid control trajectory optimization under uncertainty
Ville Kyrki , Gerhard Neumann , Jan Peters , Michael Koval
arXiv: Robotics
18
2017
Model-based Lookahead Reinforcement Learning.
Joni Pajarinen , Zhang-Wei Hong , Jan Peters
arXiv: Learning
9
2019
Generalized Mean Estimation in Monte-Carlo Tree Search
Jan Peters , Jan Peters , Joni Pajarinen , Carlo D'Eramo
arXiv: Artificial Intelligence
4
2019
Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning
Jan Peters , Simone Parisi , Joni Pajarinen , Carlo D'Eramo
arXiv: Learning
4
2019
Convex Regularization in Monte-Carlo Tree Search
Jan Peters , Joni Pajarinen , Carlo D'Eramo , Tuan Quang Dam
arXiv: Learning
5
2021
Self-Paced Deep Reinforcement Learning
Jan R. Peters , Joni Pajarinen , Carlo D'Eramo , Pascal Klink
neural information processing systems 33 9216 -9227
25
2020
Deep Adversarial Reinforcement Learning for Object Disentangling
Jan Peters , Joni Pajarinen , Oleg Arenz , Melvin Laux
intelligent robots and systems 5504 -5510
2
2020
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning.
Jan Peters , Hany Abdulsamad , Joni Pajarinen , Boris Belousov
arXiv: Learning
12
2021
Neural Network Controller for Autonomous Pile Loading Revised.
Nataliya Strokina , Reza Ghabcheloo , Juho Vihonen , Joni-Kristian Kämäräinen
arXiv: Robotics
6
2021
Reinforcement Learning using Guided Observability.
Jan Peters , Joni Pajarinen , Pascal Klink , Stephan Weigand
arXiv: Learning
2021
Latent Derivative Bayesian Last Layer Networks
Jan Peters , Joni Pajarinen , Pascal Klink , Joe Watson
international conference on artificial intelligence and statistics 1198 -1206
11
2021
Efficient planning in large POMDPs through policy graph based factorized approximations
Joni Pajarinen , Jaakko Peltonen , Ari Hottinen , Mikko A. Uusitalo
european conference on machine learning 1 -16
3
2010