This is the code repository for my thesis
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Updated
Jun 6, 2017 - Python
This is the code repository for my thesis
Browser-based MyUI Runtime Implementation
A collection of Jupyter notebooks on articles and material online related to recommender systems in python.
Layout manager for react applications
MAPO: Model-Aware Policy Optimization algorithm
A Python package for Robot Learning
Simulation Framework for the Static Scheduler
Segmentation of France using time series
Development and simulation framework for Application Specific Vector Processor
Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
Model-based Policy Gradients
CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
Model-based Reinforcement Learning Framework
Highway Driving (project 7 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
User Interface Editors for Model-Based Editors and Domain Specific Languages (DSLs)
Model-based recommendation systems involve building a model based on the dataset of ratings. This approach potentially offers the benefits of both speed and scalability. [Source: http://www.cs.carleton.edu/cs_comps/0607/recommend/recommender/modelbased.html]
Expert Advisor based on Falcon Template and kNN trading algorithm
A Model-based Agent, for chinese speech recognize.
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