752 Open source projects that are alternatives of or similar to Starcraft

An out-of-the-box GUI tool for offline deep reinforcement learning

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

Testbed for deep reinforcement learning

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

A list of recent papers regarding dialogue generation

Scalable Implementation of Deep CFR and Single Deep CFR

High-speed Autonomous Drifting with Deep Reinforcement Learning

Deep Reinforcement Learning library for humans

My notes on reinforcement learning papers

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

A structured implementation of MuZero

Lightweight deep RL Libraray for continuous control.

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

This is a simple implementation of DeepMind's PySC2 RL agents.

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

A high-level framework for advanced deep learning with TensorFlow

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

Eagerly Experimentable!!!

An open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.

Persistent advantage learning dueling double DQN for the Arcade Learning Environment

A PyTorch implementation of Rainbow DQN agent

Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

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

Play Google Chrome's T-rex game with TensorFlow

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

Live Trading. Please star.

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

An open source framework for research in Embodied-AI from AI2.

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

A minimal C implementation of Nintendo Gameboy - An fast research environment for Reinforcement Learning

Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

Learning Continuous Control in Deep Reinforcement Learning

Safe reinforcement learning with stability guarantees

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

AI trained using Genetic Algorithm and Deep Learning to play the game of snake

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Introduction to Deep Reinforcement Learning

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Implementation of algorithms for continuous control (DDPG and NAF).

Using self-play, MCTS, and a deep neural network to create a hearthstone ai player

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

🚗 Rocket League Distributed Deep Reinforcement Learning Bot

Mario AI Ensemble

Coding Demos from the School of AI's Move37 Course

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Examples

A life simulation for exploring social dynamics

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

A curated list of dedicated resources and applications

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

Mastering Atari with Discrete World Models

Developing a deep neural network to play a snake game

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla