Catherine-Chu

Peking University

Pinned Repositories

CovPP
Adaptive Coverage Path Planning
Language:Python4 0 00
DeepQA
Implementation of "A neural conversational model" and try to use RL method in training.
Language:Python11
DRL_Examples
Learning to implement several deep reinforcement learning algorithms on different examples
Language:Python0 0 00
DUD
The implement of a comparable work named DUD for self-assembly project.
Language:C++00
EdgeFollowing
This is an implementation of the edge-following strategy in paper "Programmable self-assembly in a thousand-robot swarm, Science, 2014" in 2D grid environment.
Language:C++00
HungarianShape
Shape formation with task allocation based on Hungarian algorithm
Language:C++10
ModelCompress
Machine Learning Homework: Implement a filter based pruning method named Taylor in order to realize deep model compression.
Language:Python2 0 00
MultiViewAgent
View-based data sharing framework for adaptive multi-agents collaboration!
Language:Python00
TFQA
Developing a dialogue system based on tensorflow.
Language:Python10
TrafficSigOpt
A solution to the third session of the Di-tech algorithm test. Aimed at solving traffic signal timing optimization problem based on trajectory data.
Language:Python10

Catherine-Chu/CovPP
Adaptive Coverage Path Planning
Language:Python4 0 00
Catherine-Chu/ModelCompress
Machine Learning Homework: Implement a filter based pruning method named Taylor in order to realize deep model compression.
Language:Python2 0 00
Catherine-Chu/DeepQA
Implementation of "A neural conversational model" and try to use RL method in training.
Language:Python11
Catherine-Chu/HungarianShape
Shape formation with task allocation based on Hungarian algorithm
Language:C++10
Catherine-Chu/TFQA
Developing a dialogue system based on tensorflow.
Language:Python10
Catherine-Chu/TrafficSigOpt
A solution to the third session of the Di-tech algorithm test. Aimed at solving traffic signal timing optimization problem based on trajectory data.
Language:Python10
Catherine-Chu/DRL_Examples
Learning to implement several deep reinforcement learning algorithms on different examples
Language:Python0 0 00
Catherine-Chu/DUD
The implement of a comparable work named DUD for self-assembly project.
Language:C++00
Catherine-Chu/EdgeFollowing
This is an implementation of the edge-following strategy in paper "Programmable self-assembly in a thousand-robot swarm, Science, 2014" in 2D grid environment.
Language:C++00
Catherine-Chu/MultiViewAgent
View-based data sharing framework for adaptive multi-agents collaboration!
Language:Python00
Catherine-Chu/Self-Assembly-Shape-Set
This is a public shape set for research in shape formation and self-assembly.
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