Kun Chu (Kchu)

Kchu

User data from Github https://github.com/Kchu

Company: University of Hamburg, WTM

Location:Hamburg, Germany

Home Page:https://kchu.github.io/

GitHub:@Kchu

Twitter:@kunchu_cs

Kun Chu's repositories

DeepRL_PyTorch

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

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LifelongRL

Lifelong Reinforcement Learning codes. Python implementation for the SR-LLRL Algorithm, proposed in our 2021 IEEE SMC Conference Paper "Accelerating lifelong reinforcement learning via reshaping rewards".

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LABOR-Agent

Official implementation for the LABOR (LAnguage-model-based Bimanual ORchestration) Agent.

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LLM-MAP

Official implementation of LLM+MAP: Bimanual Robot Task Planning using Large Language Models (LLMs) and Planning Domain Definition Language (PDDL). Codes and files are coming soon.

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CURE-cluster-python

Python implementation of CURE (Clustering Using REpresentatives) clustering algorithm.

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CURE-cluster-matlab

Matlab implementation of CURE (Clustering Using Representatives) clustering algorithm.

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ROCK-cluster-matlab

Matlab implementation of ROCK(RObust Clustering using linKs) clustering algorithm

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Chameleon-cluster-matlab

Matlab implementation of Chameleon clustering algorithm.

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Draw_Connection_Graph

Draw a connection graph easily with python.

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awesome-llm-powered-agent

Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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ExpressionEvaluation

C-practice for ExpressionEvaluation in summer of 2018.

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Awesome-LLM-Robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

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Everything-LLMs-And-Robotics

The world's largest GitHub Repository for LLMs + Robotics

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kchu.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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robot-control

Deakin thesis using deep reinforcement learning and interactive feedback on robot domain

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