424 Open source projects that are alternatives of or similar to imitation_learning

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).

A pytorch tutorial for DRL(Deep Reinforcement Learning)

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

An elegant PyTorch deep reinforcement learning library.

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

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

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

No description or website provided.

☔ Deep RL agents with PyTorch☔

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

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

Modularized Implementation of Deep RL Algorithms in PyTorch

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

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

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

Lightweight deep RL Libraray for continuous control.

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

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Live Trading. Please star.

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

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

RAD: Reinforcement Learning with Augmented Data

Deep Reinforcement Learning algorithms implemented in PyTorch

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

RLgraph: Modular computation graphs for deep reinforcement learning

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

TensorFlow2 Reinforcement Learning

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

A PyTorch library for building deep reinforcement learning agents.

Repo for the Deep Reinforcement Learning Nanodegree program

DEEp Reinforcement learning framework

Implementations of Reinforcement Learning Models in Tensorflow

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

Ranking Policy Gradient

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Scalable, event-driven, deep-learning-friendly backtesting library

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

Highly Modular and Scalable Reinforcement Learning

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

Imitation learning algorithms

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

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Minimal and Clean Reinforcement Learning Examples

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

Combining deep learning and reinforcement learning.

Open-source simulator for autonomous driving research.