407 Open source projects that are alternatives of or similar to Parl Sample

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

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

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

No description or website provided.

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

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

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playing idealized trading games with deep reinforcement learning

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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 …

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

🔥🌟《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!

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.

RLgraph: Modular computation graphs for deep reinforcement learning

[파이썬과 케라스로 배우는 강화학습] 예제

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

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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.