Reinforcement Learning Libraries - Page 9

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Python 185Updated: 4 y ago License: Permissive (MIT)

Tensorflow implementation of generative adversarial imitation learning

Python 184Updated: 4 y ago License: Permissive (MIT)

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

Python 183Updated: 2 y ago License: Permissive (MIT)

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

Python 183Updated: 2 y ago License: Permissive (MIT)

Lateral Movement technique using DCOM and HTA

C# 182Updated: 4 y ago License: Permissive (MIT)

Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow

Python 180Updated: 4 y ago License: No License (No License)

This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.

Python 178Updated: 4 y ago License: Permissive (MIT)

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Python 177Updated: 2 y ago License: No License (No License)

Implementations of deep RL papers and random experimentation

Python 176Updated: 4 y ago License: Permissive (Apache-2.0)

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

Python 176Updated: 2 y ago License: No License (No License)

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

Jupyter Notebook 176Updated: 2 y ago License: No License (No License)

A wrapper framework for Reinforcement Learning in Webots simulator using Python 3.

Python 175Updated: 2 y ago License: Strong Copyleft (GPL-3.0)

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

Python 175Updated: 4 y ago License: No License (No License)

The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.

Python 175Updated: 2 y ago License: Strong Copyleft (GPL-3.0)

Building Agents with Imagination: pytorch step-by-step implementation

Jupyter Notebook 175Updated: 4 y ago License: No License (No License)

Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning

Python 174Updated: 3 y ago License: No License (No License)

Learning Resources And Links Of Reinforcement Learning （updating）

Python 174Updated: 2 y ago License: Permissive (MIT)

Noisy Networks for Exploration

Python 173Updated: 4 y ago License: Permissive (MIT)

Policy Change Index for China (PCI-China)

Python 172Updated: 2 y ago License: Strong Copyleft (AGPL-3.0)

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Python 170Updated: 4 y ago License: Permissive (Apache-2.0)

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

Python 169Updated: 4 y ago License: Permissive (MIT)

This is a DRL(Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning.

Python 168Updated: 2 y ago License: No License (No License)

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

Python 168Updated: 2 y ago License: Permissive (MIT)

Reinforcement Learning Algorithms with Python, Published by Packt

Python 167Updated: 2 y ago License: No License (No License)

A Simple Deep Reinforcement Learning Dialogue System

JavaScript 166Updated: 4 y ago License: Strong Copyleft (GPL-3.0)

Prioritized Experience Replay (PER) implementation in PyTorch

Python 164Updated: 4 y ago License: Permissive (MIT)

A Gym-like environment for Reinforcement Learning in Rocket League

Python 164Updated: 2 y ago License: Permissive (Apache-2.0)

The source code for "An Actor Critic Algorithm for Structured Prediction"

Jupyter Notebook 164Updated: 2 y ago License: Permissive (MIT)

Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018

Python 163Updated: 2 y ago License: No License (No License)

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning

Python 163Updated: 2 y ago License: Strong Copyleft (GPL-3.0)

PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Distributed RL/IL code for Multi-Agent Path Finding (MAPF)

Python 163Updated: 2 y ago License: Permissive (MIT)

Turn RL papers into code, the easy way

Python 162Updated: 4 y ago License: Permissive (MIT)

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

Python 160Updated: 2 y ago License: Permissive (MIT)

Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"

Python 160Updated: 2 y ago License: Permissive (MIT)

Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations": https://arxiv.org/abs/1909.06993

Python 159Updated: 2 y ago License: Permissive (MIT)

PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning

Python 159Updated: 4 y ago License: No License (No License)

This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.

Python 158Updated: 2 y ago License: No License (No License)

Solving OpenAI Gym problems.

Python 156Updated: 2 y ago License: No License (No License)

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

Jupyter Notebook 156Updated: 2 y ago License: Permissive (BSD-3-Clause)

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

Python 155Updated: 2 y ago License: Permissive (MIT)

A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)

Python 155Updated: 2 y ago License: Permissive (MIT)

Reinforcement learning for energy systems

Python 154Updated: 3 y ago License: Permissive (MIT)

This is a private learning repository for reinforcement learning techniques used in robotics.

HTML 154Updated: 2 y ago License: Permissive (MIT)

A Baby Robot's Guide to Reinforcement Learning

Jupyter Notebook 154Updated: 2 y ago License: Strong Copyleft (GPL-3.0)

Communicating with godot engine through shared memory

Python 153Updated: 2 y ago License: Permissive (MIT)

This is the 0.4 release of the Arcade Learning Environment (ALE), a platform designed for AI research. ALE is based on Stella, an Atari 2600 VCS emulator.

C++ 153Updated: 4 y ago License: Strong Copyleft (GPL-2.0)

Offline lightning PoS

C 153Updated: 3 y ago License: Strong Copyleft (GPL-3.0)

Full World Models Implementation in Chainer

Python 152Updated: 4 y ago License: No License (No License)

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

Python 152Updated: 2 y ago License: Permissive (MIT)

Python 152Updated: 2 y ago License: Permissive (Apache-2.0)