351 Open source projects that are alternatives of or similar to deep-rl-quadcopter

Code for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.

Flappy Frog hack using Deep Reinforcement Learning (Deep Q-learning). 暴力膜蛤不可取。

The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"

Revisiting Rainbow

Deep reinforcement learning with tensorflow2

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

An out-of-the-box GUI tool for offline deep reinforcement learning

No description or website provided.

PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)

A Universal Deep Reinforcement Learning Framework

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

Code for NIPS 2017 learning to run challenge

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

High-speed Autonomous Drifting with Deep Reinforcement Learning

A high-level framework for advanced deep learning with TensorFlow

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Develop ultimate AI Pokémon trainer

No description or website provided.

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

Evaluating pre-trained navigation agents under corruptions

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Eagerly Experimentable!!!

Reinforcement Learning algorithm's using google-colab

Cloud-native Financial Reinforcement Learning

Minimal implementations of reinforcement learning algorithms by Tensorflow

Deep Reinforcement Learning for Robotic Grasping from Octrees

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

A Real-Time-Strategy game for Deep Learning research

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/

Fitness landscape exploration sandbox for biological sequence design.

SeqGAN but with more bells and whistles

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

Reinforcement learning in JavaScript & Node.js

Combining deep learning and reinforcement learning.

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

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）

Using PyTorch and DDPG to play Torcs

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

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 …

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

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

No description or website provided.

Minimal and Clean Reinforcement Learning Examples

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

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

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）。

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

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

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction