534 Open source projects that are alternatives of or similar to Tnt

Artificial intelligence for the Snake game.

DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)

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

Predict/log/learn/update reinforcement learning loop

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

A power network simulator with a Reinforcement Learning-focused usage.

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

API to run VirtualHome, a Multi-Agent Household Simulator

Open source collection of Reinforcement Learning Environments.

A selection of state-of-the-art research materials on decision making and motion planning.

Basic reinforcement learning implementation with tensorflow version 2.0

Repository to accompany RSS 2018 paper on dexterous hand manipulation

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

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

List of summer schools in machine learning + related fields across the globe

Tools for using computer algebra systems to solve math problems step-by-step with reinforcement learning

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

Machine learning and data science blog.

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

Maze Applied Reinforcement Learning Framework

Implementation of the Deep Q-learning algorithm to solve MDPs

tensorflow deep RL for driving a rover around

For deep RL and the future of AI.

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

Learning from zero (mostly based off of AlphaZero) in General Game Playing.

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.

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Using deep reinforcement learning to tackle the game 2048.

Carefully curated resource links for data science in one place

Conversational AI Reading Materials

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

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

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

An OpenAI Gym Env for Panda

Implementing reinforcement-learning algorithms for pysc2 -environment

Efficient Batched Reinforcement Learning in TensorFlow

A Multi-agent Learning Framework

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

OpenAI Gym wrapper for the DeepMind Control Suite

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

Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018

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

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

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Reinforcement Learning Algorithms

Flappy Bird hack using Reinforcement Learning

Some JavaScript works published as demos, mostly ML or DS

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

TensorFlow Tutorials with YouTube Videos

Implementation of q-learning using TensorFlow

A working implementation of the Categorical DQN (Distributional RL).

AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC