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Chris Child
Chris Child
Senior Lecturer, City, University of London
Adresse e-mail validée de city.ac.uk - Page d'accueil
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Ql-bt: Enhancing behaviour tree design and implementation with q-learning
R Dey, C Child
2013 IEEE Conference on Computational Inteligence in Games (CIG), 1-8, 2013
442013
Agents and Environments
K Stathis, C Child, W Lu, GK Lekeas
Technical report, SOCS Consortium, 2002. IST32530/CITY/005/DN/I/a1, 2002
82002
The apriori stochastic dependency detection (ASDD) algorithm for learning stochastic logic rules
C Child, K Stathis
International Workshop on Computational Logic in Multi-Agent Systems, 234-249, 2004
72004
Hand pose estimation using deep stereovision and markov-chain monte carlo
R Remilekun Basaru, G Slabaugh, E Alonso, C Child
Proceedings of the IEEE International Conference on Computer Vision …, 2017
62017
HandyDepth: Example-based stereoscopic hand depth estimation using Eigen Leaf Node Features
RR Basaru, GG Slabaugh, C Child, E Alonso
2016 International Conference on Systems, Signals and Image Processing …, 2016
62016
Quantized census for stereoscopic image matching
RR Basaru, C Child, E Alonso, G Slabaugh
2014 2nd International Conference on 3D Vision 2, 22-29, 2014
52014
NPCs as People, Too: The Extreme AI Personality Engine
J Georgeson, C Child
arXiv preprint arXiv:1609.04879, 2016
42016
Rule value reinforcement learning for cognitive agents
C Child, K Stathis
Proceedings of the fifth international joint conference on autonomous agents …, 2006
42006
Data-driven recovery of hand depth using CRRF on stereo images
RR Basaru, C Child, E Alonso, G Slabaugh
IET Computer Vision 12 (5), 666-678, 2018
32018
SMART (Stochastic Model Acquisition with ReinforcemenT) learning agents: A preliminary report
C Child, K Stathis
Adaptive Agents and Multi-Agent Systems II, 73-87, 2004
32004
Rendering non-euclidean space in real-time using spherical and hyperbolic trigonometry
D Osudin, C Child, YH He
International Conference on Computational Science, 543-550, 2019
22019
Performance Enhancement of Deep Reinforcement Learning Networks using Feature Extraction
J Ollero, C Child
International Symposium on Neural Networks, 208-218, 2018
22018
Be The controller: a kinect tool kit for video game control
N Hadjiminas, C Child
Computer Games, Multimedia and Allied Technology (CGAT 2012), 44, 2012
22012
Be the controller: A kinect tool kit for video game control-recognition of human motion using skeletal relational angles
N Hadjiminas, CHT Child
22012
Learning to Act with RVRL agents
CHT Child, K Stathis, A Garcez
22007
Implementing racing AI using qlearning and steering behaviours
BP Trusler, C Child
Proceeding of the 15th annual European Conference on Simulation and AI in …, 2014
12014
Modelling Emotion Based Reward Valuation with Computational Reinforcement Learning
CHT Child, C Koluman, T Weyde
Proceedings of the 41st Annual Conference of the Cognitive Science Society …, 2019
2019
Conditional Regressive Random Forest Stereo-based Hand Depth Recovery
R Remilekun Basaru, G Slabaugh, E Alonso, C Child
Proceedings of the IEEE International Conference on Computer Vision …, 2017
2017
NPCs as People, Too: The Extreme AI Personality Engine
CHT Child, J Georgeson
City, University of London, 2016
2016
HandyDepth: Example-based Stereoscopic Hand Depth Estimation using Eigen Leaf Node Features
GG Slabaugh, CHT Child, E Alonso, RR Basaru
2016
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