347 Open source projects that are alternatives of or similar to pytorch-noreward-rl

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

A reinforcement learning package for Julia

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

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

Mario AI Ensemble

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

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/

🔥🌟《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!

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!

Noisy Networks for Exploration

SeqGAN but with more bells and whistles

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.

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

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☔ Deep RL agents with PyTorch☔

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Deep Reinforcement Learning (DRL) agents applied to medical images

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

TensorFlow implementation of Deep Reinforcement Learning papers

Code for "Gradient Surgery for Multi-Task Learning"

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 …

An offline deep reinforcement learning library

JAX implementations of core Deep RL algorithms

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

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

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

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

Resources, papers, tutorials

Unity Machine Learning Agents Toolkit

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

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

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。

Teach a Quadcopter How to Fly!

3D RL Volleyball environment built on Unity ML-Agents

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

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

CSCI 599 deep learning and its applications final project

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

playing idealized trading games with deep reinforcement learning

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

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"

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

Functional Reinforcement Learning in Scala.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

A deep reinforcement learning bot that plays tetris

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

Awesome RL: Papers, Books, Codes, Benchmarks

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

🤖 Implements of Reinforcement Learning algorithms.

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Modularized Implementation of Deep RL Algorithms in PyTorch