Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
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Updated
May 10, 2024 - Python
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.
CSF Firewall and AbuseIPDB API integration with specific focus on data privacy and prevention of sensitive data leaked to public AbuseIPDB database report
Learnign high-level reasoning of human interactions in a scoial greeting using deep reinforcement learning
Integrated task and motion planning using grounded actions learned from observing expert demonstrations.
This is the repository for the TAICHI algortithm for non-antropomorphic robotic arms.
Interface between a DBN model and CNN models to learn from demonstrations
LfD framework for learning the temporal dynamics of a social interaction
This repository presents the code for the Elastic Fast Marching Learning (EFML) demonstration learning algorithm.
Free Android game for experiments in learning task structure from human demonstrations. User performances can be saved and exported for research use.
MATLAB code for learning primitive actions from human demonstrations and using these for planning complex tasks, applied to levels of the Needle Master android game.
⚙️ Learning from data - Caltech course
Dashboard for weekly COVID-19 publication
Temporal Context Graph - Interval-based temporal reasoning model capable of learning tasks with cyclical events
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