yudasong Goto Github PK

16831-spring-2021

app

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

briee

Representation Learning in RL

canvas

di-engine

OpenDILab Decision AI Engine

dmc2gym

OpenAI Gym wrapper for the DeepMind Control Suite

doc3-project

dqfd

An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games

flicks

flicks2

github-repo-finder

hello-world

My first repository

homework

Assignments for CS294-112.

hyq

Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.

instagram

maml_rl

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

models

Models and examples built with TensorFlow

myappportfolio

for Udacity project 0

partofspeech

pcmlp

pcpg

photo-map

policy_adapt

Code for paper Provably Efficient Model-based Policy Adaptation

policy_transfer

ppt

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch_sac_ae

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-branch-and-bound