Topic: reinforcement Goto Github
Some thing interesting about reinforcement
Some thing interesting about reinforcement
reinforcement,Lane keeping assistant using Reinforcement learning
User: a-raafat
reinforcement,Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.
Organization: ai4finance-foundation
Home Page: https://ai4finance.org
reinforcement,Reinforcement learning models in ViZDoom environment
User: akolishchak
reinforcement,Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
User: alfredvc
Home Page: https://arxiv.org/abs/1705.04862
reinforcement,Reinforcement Workbench for FreeCAD
User: amrit3701
Home Page: https://wiki.freecadweb.org/Reinforcement_Workbench
reinforcement,Reinforcement learning is a machine learning technique where agents learn to make optimal decisions by maximizing reward signals through interactions with environment. This repository provides a curated list of resources for learning reinforcement learning, including courses, & tutorials from various providers.
User: azminewasi
reinforcement,A course on Deep Reinforcement Learning in Computer Vision. Visit Website:
User: bardofcodes
Home Page: http://bardofcodes.github.io/DRL_in_CV/
reinforcement,Gym environments and agents for autonomous driving.
Organization: bark-simulator
Home Page: https://bark-simulator.github.io/
reinforcement,Robotic Arm learns to approach objects using Deep Reinforcement Learning
User: beshario
reinforcement,Energym is an open source building simulation library designed to test climate control and energy management strategies on buildings in a systematic and reproducible way.
User: bsl546
reinforcement,An intelligent agent that adaptively changes its thought processes to maximize cumulative reward
User: carsonscott
reinforcement,Some codes used for the numerical examples proposed in https://arxiv.org/abs/1812.05916
User: comeh
reinforcement,We use policy gradient to help agents learn optimal policies in a competitive multi-agent contextual bandit setting
User: cskrishna
reinforcement,Bring terraria reinforge to Minecraft.
Organization: dolphincraft
reinforcement,Worksheet and Utilities for AWS DeepRacer – one of the most exciting ways of building strong skills in reinforcement learning and through a hands-on approach. This repository offers: 1) Functionally-rich and flexible reward function 2) Utilities with Jupiter notes for Racing Line calculation and visualisation of track 3) Scripts to parse RoboMaker training and evaluation logs to CSV file 4) Sample Excel file for car behaviour analysis as well as designing and planning new reward curves 5) Coordinates and AWS DeepRacer tracks and images.
User: dp770
reinforcement,Rainbow to solve blokus gym env
User: frankilepro
reinforcement,A deep learning Crazyhouse chess program that uses a Monte Carlo Tree Search (MCTS) based evaluation system and reinforcement to enhance its play style.
User: gsychi
reinforcement,A Gym-based environment for robot rearrangement task
User: huiwenzhang
reinforcement,Github repository for the iGEM Team Heidelberg 2020 judging release software.
Organization: igemsoftware2020
Home Page: https://2020.igem.org/Team:Heidelberg
reinforcement,🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄
User: jiseonghan
reinforcement,Tic Tac Toe with Alpha Zero method - My first work
User: kekmodel
reinforcement,Autonomous Drone for Object Tracking
User: ktzsh
reinforcement,A PyTorch Library for Reinforcement Learning Research
Organization: learnables
Home Page: http://cherry-rl.net
reinforcement,Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
User: lucylow
Home Page: https://www.msra.cn/zh-cn/news/features/mahjong-ai-suphx
reinforcement,Simulation of a drone to implement Reinforcement Learning
User: mansipawar29
reinforcement,Some neural networks code and notes I've been doing for Andrew Ng's Deep Learning course.
User: mattborghi
reinforcement,Flexible, reusable reinforcement learning (Q learning) implementation in Rust
User: milanboers
reinforcement,An implementation of Double Deep Q-Network (DDQN) to solve the game Lunar Lander.
User: mrshininnnnn
reinforcement,An implementation of a SARSA agent to learn policies in the Frozen Lake environment from OpenAI gym.
User: mrshininnnnn
reinforcement,"Learning to Predict by the Methods of Temporal Differences" by Sutton, Richard S. (1988)
User: mrshininnnnn
reinforcement,[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.
User: mvrahden
Home Page: https://npmjs.com/package/reinforce-js
reinforcement,RC_beams is a tool that gives the nominal resistence of a RC beam with a given reinforcement.
User: nicolasmorenoy
reinforcement,Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
Organization: nth-iteration-labs
Home Page: https://nth-iteration-labs.github.io/contextual/
reinforcement,Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)
User: orrivlin
reinforcement,This repository contains a python implementation of a Deep Q-Network (DQN) for Atari gameplay using tensorflow.
User: prabhatnagarajan
reinforcement,DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
User: ritchiehuang
reinforcement,Flying Cavalry Project - Ucan Kavalye Projesi
User: rlturkiye
Home Page: https://rlturkiye.com
reinforcement,Autonomous Aerial Vehicle
Organization: sintefneodroid
Home Page: https://environment.neodroid.ml/aav
reinforcement,Open AI Gym version of Berkeley AI Pacman with images as states
User: sohamghosh121
reinforcement,Sidekick Policy Learning for Active Visual Exploration (ECCV 2018)
User: srama2512
reinforcement,I implemented the reinforcement learning based model Upper Confidence Bound in both Python and R
User: stabgan
reinforcement,Relative entropy policy search (REPS) using neural networks in OpenAI Gym environments
User: stefanknegt
reinforcement,本书作者是来自日本的Yutaro Ogawa(小川熊太郎),作者的github上源码是日文注释的,这个repository把它翻译成中文
User: wanghailin2019
reinforcement,source code for 'Improving automatic source code summarization via deep reinforcement learning'
User: wanyao1992
reinforcement,Reinforcement Learning Introduction - Selected Exercise Solutions & Experiment Code
User: xingtao
reinforcement,SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all baselines (PPO, classifier-based guidance, direct reward backpropagation) for fine-tuning Stable Diffusion.
User: zhaoyl18
Home Page: https://arxiv.org/abs/2402.16359
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