128 Open source projects that are alternatives of or similar to model-free-algorithms

Preprocessing seismic data: download, format changing, and archiving

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

Fabric mod for rainbow and blur backgrounds in minecraft guis

🤖 Implements of Reinforcement Learning algorithms.

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Trading Environment(OpenAI Gym) + PPO(TensorForce)

🌈Rainbow Brackets for IntelliJ based IDEs/Android Studio/HUAWEI DevEco Studio

ROS 2 enabled Machine Learning algorithms

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

r6operators is a collection of high-quality vectorized Rainbow Six: Siege Operator icons & metadata for Node.js

rainbow themes (sponsored by https://git.io/kiwmi)

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Implementing reinforcement-learning algorithms for pysc2 -environment

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

This is the official implementation of Multi-Agent PPO.

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

Minimal implementations of reinforcement learning algorithms by Tensorflow

Sample source code for Android Pride Rainbow Bounding Box written in Kotlin and OpenGL 🏳️‍🌈

Our NIPS 2017: Learning to Run source code

No description or website provided.

No description or website provided.

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

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Learning Continuous Control in Deep Reinforcement Learning

Make your bash prompt dynamically and randomly rainbow

🌈 256-color support for console outputs

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

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).

🌈 React Rainbow Components. Build your web application in a snap.

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

🌈 Lolcat in Go: Rainbows and Unicorns!

Reinforcement learning models in ViZDoom environment

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Golang Helper for beautiful CLI Applications

Reinforcement learning tutorials

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

Customizable Windows taskbar effects.

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Proto-RL: Reinforcement Learning with Prototypical Representations

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

Build environment and train a robot arm from scratch (Reinforcement Learning)

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

Implementation of the Deep Deterministic Policy Gradient(DDPG) in bullet Gym using pytorch

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

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

PyTorch C++ Reinforcement Learning

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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

TD-Regularized Actor-Critic Methods

Sitecore Courier aims to fill the gap between the development and production environments when building websites with Sitecore CMS.

'Semi-Animated' Bibata cursors with rainbow colors

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Revisiting Rainbow