There are 4 repositories under open-ai-gym topic.
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
Reinforcement Learning Agents Trained in the CARLA Simulator
Code for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
A graphical interface for reinforcement learning and gym-based environments.
A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.
General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
Beer Game implemented as an OpenAI gym environment.
Simple PyTorch implementation of Deep Q-learning Algorithm to play Lunar Lander.
OpenAI Gym environment designed for training RL agents to balance double CartPole.
Simple Minimalistic Gridworld Environment for OpenAI Gym (Simple-MiniGrid)
Code for generating data in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
This is an RL playground to test Karpathy's great tutorial on Policy Gradients.
Course work of Reinforcement-Learning-CS6700
An infrastructure built using PyGame and OpenAI Gymnasium used to simulate crowds of pedestrians (with a variety of existing models) and train robots through reinforcement learning within a social navigation context.
An AI-powered Assistant for your Nutrition and Workout Goals
đź’ł 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.
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.
I am trying to implement various AI algorithms on various environments (like OpenAI-gym) as I learned my toward the safe AI
Solution to the Deep RL Bootcamp labs from UC Berkeley
Deep reinforcement learning solution for some open AI gym environments.
Monte Carlo method
TD Control methods
[KRoC 2022] TP2-2-11 / Imitation learning in OpenAI Gym simulator
Using Reinforcement Learning to solve Maze Navigation, Acrobot, Mountain Car
Basic Implementation of Reinforcement Learning Systems on Open-AI Gym.
A project to build an AI player for custom game (Kuiper Escape) using reinforcement learning (RL) algorithms.
This repository contains the Project for Machine Learning (CSC-736), done under the guidance of Dr. Siming Liu, at Missouri State University.
OpenAI Gym environment designed for training RL agents to bring CartPole upright and its further balancing.
Python script to balance Pendulum from open ai gym using Q-Learning and Double Q-Learning
Python script to balance CartPole from open ai gym using Sarsa
Reinforcement leraning save and load tutorial with open ai gym envirement cart pole