1633 Open source projects that are alternatives of or similar to Gam

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

A PyTorch library for building deep reinforcement learning agents.

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

BERT-NER (nert-bert) with google bert https://github.com/google-research.

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

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

Resources, papers, tutorials

A3C LSTM Atari with Pytorch plus A3G design

Code repository for the Animal AI Olympics competition

Implementations of Reinforcement Learning Models in Tensorflow

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

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Trax — Deep Learning with Clear Code and Speed

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Gibson Environments: Real-World Perception for Embodied Agents

Reinforcement learning environments with musculoskeletal models

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

Reinforcement Learning Algorithms

Notes on Deep Reinforcement Learning for Natural Language Processing papers

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

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

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).

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

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

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

Complete-Life-Cycle-of-a-Data-Science-Project

Notes and comments about Deep Reinforcement Learning papers

tensorflow deep RL for driving a rover around

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

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

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

Artificial intelligence for the Snake game.

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

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

My Solution to Assignments of CS234

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

Implementation of the Deep Q-learning algorithm to solve MDPs

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

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

🤖 Implements of Reinforcement Learning algorithms.

Teach a Quadcopter How to Fly!

Deep Reinforcement Learning (DRL) agents applied to medical images

Highly Modular and Scalable Reinforcement Learning

Scalable Implementation of Deep CFR and Single Deep CFR

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

PyTorch implementation of Soft Actor-Critic (SAC)

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

For deep RL and the future of AI.

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

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)