322 Open source projects that are alternatives of or similar to Pcgrad

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Unity Machine Learning Agents Toolkit

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

CSCI 599 deep learning and its applications final project

Notes on Deep Reinforcement Learning for Natural Language Processing papers

Deep reinforcement learning for recommendation system

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

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

Reinforcement learning environments with musculoskeletal models

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

TensorFlow and Deep Learning Tutorials

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

Trax — Deep Learning with Clear Code and Speed

Imitation learning algorithms

Open-source simulator for autonomous driving research.

A deep reinforcement learning bot that plays tetris

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

Explore and find reinforcement learning environments in a list of 150+ open source environments.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

An offline deep reinforcement learning library

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

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Playing Mario with Deep Reinforcement Learning

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

List of awesome resources for machine learning-based algorithmic trading

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

The SSBM "Phillip" AI.

An advanced program in Machine Learning and Deep Learning

Implementations of Reinforcement Learning Models in Tensorflow

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

Lab Materials for MIT 6.S191: Introduction to Deep Learning

PyTorch Implementation of Neural Episodic Control (NEC)

DEEp Reinforcement learning framework

🤖 Implements of Reinforcement Learning algorithms.

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

Malmo Collaborative AI Challenge - Team Pig Catcher

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..

Teach a Quadcopter How to Fly!

Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.

深度学习论文阅读路线图

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

Attention-guided CNN for image denoising(Neural Networks,2020)

Deep Reinforcement Learning (DRL) agents applied to medical images

Deep Reinforcement Learning Notes

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning