Topic: open-ai-gym Goto Github
Some thing interesting about open-ai-gym
Some thing interesting about open-ai-gym
open-ai-gym,Solution to the Deep RL Bootcamp labs from UC Berkeley
User: akaalbo
Home Page: https://sites.google.com/view/deep-rl-bootcamp/home
open-ai-gym,This is an RL playground to test Karpathy's great tutorial on Policy Gradients.
User: alberto-hache
open-ai-gym,DQN agent with e-greedy / softmax policy, experience replay and target network.
User: anca-mt
open-ai-gym,A graphical interface for reinforcement learning and gym-based environments.
User: andriusbern
open-ai-gym,Inducing hierarchy via models and trajectories
User: aptlin
open-ai-gym,A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
User: artem-oppermann
open-ai-gym,Deep reinforcement learning solution for some open AI gym environments.
User: bemova
open-ai-gym,Python script to balance Pendulum from open ai gym using Q-Learning and Double Q-Learning
User: bhanuprakashpebbeti
open-ai-gym,Python script to balance CartPole from open ai gym using Sarsa
User: bhanuprakashpebbeti
open-ai-gym,Monte Carlo method
User: bmaxdk
open-ai-gym,TD Control methods
User: bmaxdk
open-ai-gym,Reinforcement Learning Agents Trained in the CARLA Simulator
Organization: carla-rl-gym
open-ai-gym,This project provides a comprehensive understanding of reinforcement learning, focusing on Actor Critic Algorithms. It involves exploring the OpenAI Gym library, implementing the A2C algorithm from DeepMind's seminal paper, and enhancing the A2C algorithm for improved performance and stability.
User: codename-detective
open-ai-gym,Basic Implementation of Reinforcement Learning Systems on Open-AI Gym.
User: cyber-machine
open-ai-gym,General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems
User: dmitrykazhdan
open-ai-gym,Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
User: eliorbenyosef
open-ai-gym,A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
Organization: evolutiongym
Home Page: https://evolutiongym.github.io/
open-ai-gym,[KRoC 2022] TP2-2-11 / Imitation learning in OpenAI Gym simulator
User: guen-a-park
open-ai-gym,Agents for reinforcement learning tasks.
User: hazrmard
open-ai-gym,An environment of the board game Go using OpenAI's Gym API
User: huangeddie
open-ai-gym,A customised Open-AI gym environment which simulate the puzzle video game Threes
User: infinitesimalhare
open-ai-gym,Implementation of hill-climbing and policy gradient RL algorithms on OpenAI Gym Cartpole environment as part of OpenAI Requests for Research.
User: jacobjinkelly
open-ai-gym,A custom OpenAI Gym environment based on custom-built Kuiper Escape PyGame.
User: jdegregorio
open-ai-gym,A project to build an AI player for custom game (Kuiper Escape) using reinforcement learning (RL) algorithms.
User: jdegregorio
open-ai-gym,Implementation of SARSA Semi-Gradient Method on the Mountain Car Open AI Environment.
User: kaleabtessera
open-ai-gym,This repository contains the Project for Machine Learning (CSC-736), done under the guidance of Dr. Siming Liu, at Missouri State University.
User: kollabpr
open-ai-gym,Asteroids evasion using OpenAI's gym Reinforcement Learning (RL) package - M.Sc. Thesis in Computer Science, Ben Gurion University Ben Gurion University of the Negev, Israe
User: krichelj
open-ai-gym,a q-learning implementation of the cart pole environment in openai gym
User: lcao300
open-ai-gym,Simple PyTorch implementation of Deep Q-learning Algorithm to play Lunar Lander.
User: lemuelpuglisi
open-ai-gym,OpenAI Gym environment designed for training RL agents to balance double CartPole.
User: marek-robak
open-ai-gym,OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.
User: marek-robak
open-ai-gym,OpenAI Gym environment designed for training RL agents to bring CartPole upright and its further balancing.
User: marek-robak
open-ai-gym,Implementation of REINFORCE for open ai env acrobot, epsilon greedy Q-Learning for open ai env taxi & TD(0) for custom gameshow env KBC.
User: mew-two-github
open-ai-gym,This project inolved applied Reinfocrcement learnging viz,. Deep Q Learning for the 'cart' to learn to balance the 'pole'
User: naman4real
open-ai-gym,Beer Game implemented as an OpenAI gym environment.
User: orlov-ai
open-ai-gym,Probabilistic Reasoning Homework
User: ostyk
open-ai-gym,Reinforcement leraning save and load tutorial with open ai gym envirement cart pole
User: pedro-rabelo
open-ai-gym,Open-AI bot for automation
User: prakashsellathurai
open-ai-gym,Code for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
Organization: princeton-vl
open-ai-gym,Code for generating data in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
Organization: princeton-vl
open-ai-gym,An AI-powered Assistant for your Nutrition and Workout Goals
User: rohankumar2025
open-ai-gym,Course work of Reinforcement-Learning-CS6700
User: saivinay007
open-ai-gym,Implementing Deep Q Network and its improvement techniques using Pytorch
User: srikanthkb
open-ai-gym,💳 Creates a new gym environment for credit-card anomaly detection using Deep Q-Networks (DQN) and leverages Open AI's Gym toolkit to allocate appropriate awards to the RL agent.
Organization: stockgram
open-ai-gym,An implementation from the state-of-the-art family of reinforcement learning algorithms Proximal Policy Optimization using normalized Generalized Advantage Estimation and optional batch mode training. The loss function incorporates an entropy bonus.
User: tomasspangelo
open-ai-gym,I am trying to implement various AI algorithms on various environments (like OpenAI-gym) as I learned my toward the safe AI
User: varniex
open-ai-gym,Using Reinforcement Learning to solve Maze Navigation, Acrobot, Mountain Car
User: zweedao
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.