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awesome-rl

Reinforcement learning resources curated

awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

commnet

PyTorch implementation of CommNet

d4rl

A benchmark for offline reinforcement learning.

data-efficient-hrl

Implementation of Data Efficient Reinforcement Learning in Pytorch

deep-trading-agent

Deep Reinforcement Learning based Trading Agent for Bitcoin

detectfoot_linux

This project is the low version about the hardware software co-design of our FPGA + Android Project

dt_mem

Thisi is the official code base for paper "Think Before You Act: Decision Transformers with Internal Working Memory"

google-interview-university

A complete daily plan for studying to become a Google software engineer.

graphsage-simple

Simple reference implementation of GraphSAGE.

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.

homework

Assignments for CS294-112.

hyper-dt

luciferkonn.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

maacn

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mdt

Multi-game Decision Transformer

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mmdp

moc_corl22

This is the official implementation of paper "Learning Multi-Objective Curricula for Robotic Policy Learning"

multi-taxi-recommend

This project use Multi MDP method to recommend the passenger pick up for Uber drivers

opencv-marker-less-ar

This is a marker less augmented reality application developed using OpenCV. This code can be used under MIT license. Demo movie: http://youtu.be/KgQguj78qMA

opencv-markerless-ar-mobile

Markless AR transplanted to iOS and Android based on takmin's code. http://meiroo.github.io/projects#ar

pytorch-exercise

PyTorch Exercise Codes for Deep Learning Researchers

pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

rl-generalization-paper

A list of papers regarding generalization in (deep) reinforcement learning

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

state-representation-learning-an-overview

Simplified version of "State Representation Learning for Control: An Overview" bibliography