There are 7 repositories under reinforcementlearning topic.
My blogs and code for machine learning. http://cnblogs.com/pinard
This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
GitHub's code repository is all you need
Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch
Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)
Dynamic Attention Encoder-Decoder model to learn and design heuristics to solve capacitated vehicle routing problems
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones
Reinforcement Learning for Optimal inventory policy
Serpent's Awesome, but, unfortunately, it's too expensive. Let's see what we can do about that
Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting
OpenAI Gym wrapper for the Quanser Qube and Quanser Aero
A Collection for Distributed Reinforcement Learning Papers
ReLAx - Reinforcement Learning Applications Library
docker image for reinforcement learning including Open AI roboschool
Open AI Gym version of Berkeley AI Pacman with images as states
Learning the topic Machine learning, with sample code.
Controlling a 7 DOF manipulator from the panda gym reacher environment using DDPG
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
A fork of Xemu with the goal of creating a libretro core for Reinforcement Learning and RetroArch
Code for the paper "Reinforced Active Learning for Image Segmentation", adapted to the medical domain for 3D anatomical and pathological segmentation.
NeuroConscious: A biologically inspired, modular artificial consciousness engine. It simulates autonomous agents interacting in dynamic virtual worlds with internal states, emotions, memory (episodic, semantic, procedural), goal hierarchies, and learning (DQN) systems. An extensible testbed for artificial life and cognitive modeling research.
🏔️🚗 Welcome to RLMountainHub! Our repository is dedicated to conquering the Mountain Car problem using advanced reinforcement learning techniques. 🧠🚀
solving a simple 4*4 Gridworld almost similar to openAI gym frozenlake using Monte-Carlo method Reinforcement Learning
Reinforcement learning (RL) Notes and Notebooks.
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
ROS package providing a gym-like interface for the Sawyer Robot at U-AIM Lab
The following is my submission for the Seventh Semester Project II. It incorporates Reinforcement Learning to Create an Adversarial Flight Simulation in Unity
This is a ML Unity project that works with ML agents RL to train a flying-trigger enemy NPC.
This repository contains all the papers which I read and annotate. The papers are mostly RL focused, however, expect some deviations.
This repository contains the implementation of reinforcement learning algorithm, UCB to optimize the selection of ad to maximise the gains of the company.
Sample efficient learning using expectation maximization
Tic-Tac-Toe Q-Learning is a beginner-friendly example of using reinforcement learning.
This project explores the use of large foundational vision-language models in reinforcement learning, where the models function as agents, reward functions, or reward function code generators in unseen environments given a state and a goal.