CL Algorithm for Learning Bayesian Network Structures
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Updated
Feb 8, 2017 - Java
CL Algorithm for Learning Bayesian Network Structures
Code for the paper "Curriculum Dropout", ICCV 2017
Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone.
reimplementing Neural Summarization by Extracting Sentences and Words
An exploration of curriculum learning and active learning on Google AI's Doodle (Kaggle) Challenge Dataset
Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359
PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"
Learning in Growing Robots: Knowledge Transfer from Tadpole to Frog Robot
A curated list of resources about Machine Learning for Robotics
Learn Docker with ZeroC0D3Lab
Curriculum learning using rllib on gymEnv "CarRacing"
Configurable Curriculum Learning Domain for Reinforcement Learning Agents. As specified by [Narvekar, Sanmit, Jivko Sinapov, and Peter Stone. "Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning." IJCAI. 2017.]
An empirical evaluation of learning strategies for GANs
Code for Automatic Curriculum Learning through Value Disagreement
Code for the experiments in "Towards Self-Paced Context Evaluation for Contextual Reinforcement Learning"
Implement many Sparse Reward algorithms in Gym Fetch environment
Learn the C# Programming Language
Curriculum Learning related papers and materials
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