我的一些面试心得；自学CS历程分享；找工作求职经验分享

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020

RAD: Reinforcement Learning with Augmented Data

RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)

Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"

PyTorch code to train and evaluate Procgen tasks

This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)

A highly efficient implementation of Gaussian Processes in PyTorch

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation

Python Implementation of all the Competitive Programmer Handbook Algorithms

收集校招污点公司或组织，帮助学弟学妹避雷。互联网不曾遗忘！

Personal Repo to keep track of RL papers

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

Efficient Exploration via State Marginal Matching (2019)

Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

All Algorithms implemented in Python

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

Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)

An elegant PyTorch deep reinforcement learning library.

A curated awesome list of lists of interview questions. Feel free to contribute! 🎓

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Collection of reinforcement learning algorithms

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.