571 Open source projects that are alternatives of or similar to Pytorch Ddpg Naf

A Python interface for reinforcement learning environments

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Classic papers and resources on recommendation

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

Implementation of the Deep Q-learning algorithm to solve MDPs

This is Andrew NG Coursera Handwritten Notes.

For deep RL and the future of AI.

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

Teach a Quadcopter How to Fly!

Using deep reinforcement learning to tackle the game 2048.

Tensorflow implementation of generative adversarial imitation learning

Conversational AI Reading Materials

Deep Reinforcement Learning (DRL) agents applied to medical images

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork

Modularized Implementation of Deep RL Algorithms in PyTorch

An OpenAI Gym Env for Panda

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

Efficient Batched Reinforcement Learning in TensorFlow

Implementations of deep RL papers and random experimentation

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Essential Guide to keep up with AI/ML/DL/CV

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Clone of OpenAI's Spinning Up in PyTorch

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Reinforcement Learning Algorithms

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Flappy Bird hack using Reinforcement Learning

《Reinforcement Learning: An Introduction》（第二版）中文翻译

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

in progress

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

AI research environment for the Atari 2600 games 🤖.

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Python Implementation of Reinforcement Learning: An Introduction

The Machine Learning Toybox for testing the behavior of autonomous agents.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

This repository features game simulations as machine learning environments to experiment with deep learning approaches such as deep reinforcement learning inside of Unity.

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Advanced Deep Learning with Keras, published by Packt

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

Implementation of Scheduled Policy Optimization for task-oriented language grouding

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

self-studying the Sutton & Barto the hard way

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

OpenAI Gym wrapper for the DeepMind Control Suite

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

MuZero