LinZichuan

AdMRL

Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)

deeppicker

DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

drmad

DrMAD

emdqn

Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018

linzichuan.github.io

maml_rl

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

os_exercises

清华大学OS公开课——课后练习

stencil

Tools

LinZichuan/emdqn

Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018

LinZichuan/AdMRL

Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)

LinZichuan/deeppicker

LinZichuan/linzichuan.github.io

LinZichuan/Tools

LinZichuan/DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

LinZichuan/drmad

DrMAD

LinZichuan/maml_rl

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

LinZichuan/metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

LinZichuan/Multitask-and-Transfer-Learning

Benchmark and build RL architectures that can do multitask and transfer learning.

LinZichuan/neurips2020-procgen-starter-kit

Starter Kit for NeurIPS 2020 - Procgen Competition on AIcrowd

LinZichuan/sdpo

LinZichuan/spinningup

An educational resource to help anyone learn deep reinforcement learning.

LinZichuan/academicpages.github.io

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

LinZichuan/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

LinZichuan/boots

LinZichuan/dialog-human-evaluation

LinZichuan/DirectFuturePrediction

Code for the paper "Learning to Act by Predicting the Future", Alxey Dosovitskiy and Vladlen Koltun, ICLR 2017

LinZichuan/distributional-dqn

Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.

LinZichuan/ELF

An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games

LinZichuan/generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

LinZichuan/malmo

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

LinZichuan/models

Models and examples built with TensorFlow

LinZichuan/oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

LinZichuan/Retro-Learning-Environment

The Retro Learning Environment (RLE) -- a learning framework for AI

LinZichuan/rllabplusplus

LinZichuan/SENet

Squeeze-and-Excitation Networks

LinZichuan/tensorflow

Computation using data flow graphs for scalable machine learning

LinZichuan/trfl

TensorFlow Reinforcement Learning

LinZichuan/XNM-Net

Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "