On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models

30 November 2015

Papers citing "On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models"

18 / 18 papers shown

Title
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 193 0 0 28 Oct 2024
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 31 13 0 01 Feb 2023
Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks Vincent Herrmann Louis Kirsch Jürgen Schmidhuber AI4CE 46 5 0 29 Dec 2022
Goal-Conditioned Generators of Deep Policies Francesco Faccio Vincent Herrmann Aditya A. Ramesh Louis Kirsch Jürgen Schmidhuber OffRL 40 8 0 04 Jul 2022
Predictive Information Accelerates Learning in RL Kuang-Huei Lee Ian S. Fischer Anthony Z. Liu Yijie Guo Honglak Lee John F. Canny S. Guadarrama 23 72 0 24 Jul 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du Joseph D. Futoma Finale Doshi-Velez 27 49 0 29 Jun 2020
Will we ever have Conscious Machines? P. Krauss Andreas Maier 38 30 0 31 Mar 2020
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 33 35 0 29 Oct 2019
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
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 34 914 0 04 Sep 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 26 68 0 12 Jul 2018
A Survey of Deep Learning Techniques for Mobile Robot Applications Jahanzaib Shabbir T. Anwer 21 35 0 20 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 34 290 0 28 Feb 2018
One Big Net For Everything Jürgen Schmidhuber CLL 31 34 0 24 Feb 2018
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 51 551 0 19 Jul 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 23 289 0 28 Dec 2016
Learning a Driving Simulator Eder Santana George Hotz GAN 28 226 0 03 Aug 2016
Multiagent Cooperation and Competition with Deep Reinforcement Learning Ardi Tampuu Tambet Matiisen Dorian Kodelja Ilya Kuzovkin Kristjan Korjus Juhan Aru Jaan Aru Raul Vicente 24 857 0 27 Nov 2015