340 Open source projects that are alternatives of or similar to Meta-Learning-for-StarCraft-II-Minigames

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

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

Python framework for rapid development of Starcraft 2 AI bots

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Learning Continuous Control in Deep Reinforcement Learning

Reinforcement Learning for Super Mario Bros using A3C on GPU

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

Multi-platform, fully-featured, data-driven, abstract and expendable minecraft minigames framework

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

Awesome RL: Papers, Books, Codes, Benchmarks

Revisiting Rainbow

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

No description or website provided.

A Real-Time-Strategy game for Deep Learning research

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

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

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

No description or website provided.

The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"

A curated list of resources about Machine Learning for Robotics

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

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

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Reinforcement Learning algorithm's using google-colab

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

A high-level framework for advanced deep learning with TensorFlow

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

A Universal Deep Reinforcement Learning Framework

PySC2 OpenAI Gym Environments

JAX implementations of core Deep RL algorithms

Ramudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming

一个让 THREE 平台化的项目，目前已适配微信，淘宝，头条小程序，微信小游戏

Eagerly Experimentable!!!

☔ Deep RL agents with PyTorch☔

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

Functional Reinforcement Learning in Scala.

High-speed Autonomous Drifting with Deep Reinforcement Learning

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Active visual tracking library based on PyTorch.

Ape-X DQN & DDPG with pytorch & tensorboard

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Mario AI Ensemble

This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/

Lightweight deep RL Libraray for continuous control.

A modified Try Mode Map for Heroes of the Storm to create a better experience with enhanced functionalities.

A Collection of Multi-Agent Reinforcement Learning (MARL) Resources

SeqGAN but with more bells and whistles

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

Combining deep learning and reinforcement learning.

3D RL Volleyball environment built on Unity ML-Agents

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.