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Miya Tianying Wang's Projects

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

gnu-rl icon gnu-rl

A precocial reinforcement learning solution for HVAC control

good_robot icon good_robot

“Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

gpis icon gpis

Work on Gaussian Process Implicit Surfaces

gqcnn icon gqcnn

Python modules for GQ-CNN training and deployment, with ROS integration

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-dart icon gym-dart

OpenAI Gym environment for DART robotics simulator.

gym-ignition icon gym-ignition

OpenAI Gym robotics environments implemented with Ignition Gazebo

gym-maze icon gym-maze

A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.

habitat-api icon habitat-api

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

habitat-sim icon habitat-sim

A flexible, high-performance 3D simulator for Embodied AI research.

handful-of-trials icon handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

hindsight-experience-replay icon hindsight-experience-replay

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

iccv17-fashiongan icon iccv17-fashiongan

Full version (training+testing) of implementation of Shizhan Zhu et al.'s ICCV-17 work Be Your Own Prada: Fashion Synthesis with Structural Coherence

illustrationgan icon illustrationgan

A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations.

lab icon lab

A customisable 3D platform for agent-based AI research

magenta icon magenta

Magenta: Music and Art Generation with Machine Intelligence

maml icon maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

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