sophieyueguo

cnirl

Code release for the RO-MAN 2020 paper: Designing Context-Sensitive Norm Inverse Reinforcement Learning Framework for Norm-Compliant Autonomous Agents

deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

explainable_action_advising

Code for Paper "Explainable Action Advising for Multi-Agent Reinforcement Learning"

PacmanDQN

Action Advising Deep Reinforcement Learning in Pac-man

resume

CV link

sophieyueguo.github.io

tl_navi

Code release for paper: Transfer Learning for Human Navigation and Triage StrategiesPrediction in a Simulated Urban Search and Rescue Task

UC-Berkeley-AI-Pacman-Project

Artificial Intelligence project designed by UC Berkeley. Designed game agents for the game Pacman using basic, adversarial and stochastic search algorithms, and reinforcement learning concepts

sophieyueguo/explainable_action_advising

Code for Paper "Explainable Action Advising for Multi-Agent Reinforcement Learning"

sophieyueguo/cnirl

Code release for the RO-MAN 2020 paper: Designing Context-Sensitive Norm Inverse Reinforcement Learning Framework for Norm-Compliant Autonomous Agents

sophieyueguo/deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

sophieyueguo/PacmanDQN

Action Advising Deep Reinforcement Learning in Pac-man

sophieyueguo/resume

CV link

sophieyueguo/sophieyueguo.github.io

sophieyueguo/tl_navi

Code release for paper: Transfer Learning for Human Navigation and Triage StrategiesPrediction in a Simulated Urban Search and Rescue Task

sophieyueguo/UC-Berkeley-AI-Pacman-Project

Artificial Intelligence project designed by UC Berkeley. Designed game agents for the game Pacman using basic, adversarial and stochastic search algorithms, and reinforcement learning concepts