A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.

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.

Simple PyTorch implementation of Deep Q-learning Algorithm to play Lunar Lander.

A project to build an AI player for custom game (Kuiper Escape) using reinforcement learning (RL) algorithms.

Code for generating data in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"

Code for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"

An AI-powered Assistant for your Nutrition and Workout Goals

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

Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.

A graphical interface for reinforcement learning and gym-based environments.

Monte Carlo method

TD Control methods

Basic Implementation of Reinforcement Learning Systems on 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.

Implementation of SARSA Semi-Gradient Method on the Mountain Car Open AI Environment.

Probabilistic Reasoning Homework

[KRoC 2022] TP2-2-11 / Imitation learning in OpenAI Gym simulator

Reinforcement leraning save and load tutorial with open ai gym envirement cart pole

This repository contains the Project for Machine Learning (CSC-736), done under the guidance of Dr. Siming Liu, at Missouri State University.

Python script to balance CartPole from open ai gym using Sarsa