reinforcementlearning
There are 50 repositories under reinforcementlearning topic.
ljpzzz/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
salesforce/CodeRL
This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
aunum/gold
Reinforcement Learning in Go
wwxFromTju/awesome-reinforcement-learning-lib
GitHub's code repository is all you need
NoteDance/Note
Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch
linker81/Reinforcement-Learning-CheatSheet
Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)
JaswanthBadvelu/Reinforcement-Learning-CVRP
Dynamic Attention Encoder-Decoder model to learn and design heuristics to solve capacitated vehicle routing problems
ugurkanates/NeurIRS2019DroneChallengeRL
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones
roboserg/rl
Reinforcement Learning material
kishorkukreja/SupplyChainv0_gym
Reinforcement Learning for Optimal inventory policy
Martyn0324/Hakisa
Serpent's Awesome, but, unfortunately, it's too expensive. Let's see what we can do about that
Improbable-AI/harness-offline-rl
Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting
nslyubaykin/relax
ReLAx - Reinforcement Learning Applications Library
BlueRiverTech/quanser-openai-driver
OpenAI Gym wrapper for the Quanser Qube and Quanser Aero
ikeyasu/docker-reinforcement-learning
docker image for reinforcement learning including Open AI roboschool
sohamghosh121/PacmanGym
Open AI Gym version of Berkeley AI Pacman with images as states
niektuytel/Machine_Learning
Learning the topic Machine learning, with sample code.
ialexmp/AI-Pacman-Projects
Explore foundational AI concepts through the Pac-Man projects, designed for UC Berkeley's CS 188 course. Implement search algorithms, multi-agent strategies, and reinforcement learning techniques in Python, emphasizing real-world applications. Engage in the Eutopia Pac-Man contest for a multiplayer capture-the-flag challenge
carinaschmidt/ralmis
Code for the paper "Reinforced Active Learning for Image Segmentation", adapted to the medical domain for 3D anatomical and pathological segmentation.
LIANGQINGYUAN/RL-Notebook
Reinforcement learning (RL) Notes and Notebooks.
MohammadAsadolahi/Reinforcement-Learning-solving-a-simple-4by4-Gridworld-using-Monte-Carlo-in-python
solving a simple 4*4 Gridworld almost similar to openAI gym frozenlake using Monte-Carlo method Reinforcement Learning
MohammadMoradpoor/MountainCarRL
🏔️🚗 Welcome to RLMountainHub! Our repository is dedicated to conquering the Mountain Car problem using advanced reinforcement learning techniques. 🧠🚀
anarchy1923/Droidrush-A-Three-Dimensional-Reinforcement-Learning-Flight-Adversarial-Simulation
The following is my submission for the Seventh Semester Project II. It incorporates Reinforcement Learning to Create an Adversarial Flight Simulation in Unity
computableai/computableai.github.io
The Computable AI Blog
Jumalita/Unity_MLAgents-ShootAndDodge
This is a ML Unity project that works with ML agents RL to train a flying-trigger enemy NPC.
kjanjua26/annotated-papers
This repository contains all the papers which I read and annotate. The papers are mostly RL focused, however, expect some deviations.
manvimadandotai/Ads-Optimisation
This repository contains the implementation of reinforcement learning algorithm, UCB to optimize the selection of ad to maximise the gains of the company.
omkarchittar/manipulator_control_DDPG
Controlling a 7 DOF manipulator from the panda gym reacher environment using DDPG
proxymallick/EM-Guided-Policy-Search
Sample efficient learning using expectation maximization
vishal815/Tictactoe_q_learing_ML
Tic-Tac-Toe Q-Learning is a beginner-friendly example of using reinforcement learning.
abishekChouhan/AI-Snake
Reinforcement Learning Snake Game
bmenendez/deeprl-collab-compete
Repository for exploring collaboration-competition (playing tennis) through Deep Reinforcement Learning algorithms.
MFaizan18/AlphaQuantTrader
Experience the fusion of finance and artificial intelligence with this cutting-edge project that implements a deep reinforcement learning agent for automated stock trading. Leveraging advanced neural network architectures and a meticulously crafted reward function, the agent learns to make profitable trading decisions in a simulated environment
Pruthvi3108/Cartpole-googlecolab
Re-Implementation of already existing repository
sathishkc/Simple-ReinforcementLearning-QTable
Simple Reinforcement Learning using Q tables. Train an agent to move to destination