Deep Reinforcement learning applied on open AI MountainCar environment
An implementation of the paper "Reinforcement learning with a bilinear Q function" on the Mountain Car problem.
This repository contains implementations of Inverse Reinforcement Learning (IRL) algorithms based on the paper "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000)
Code for some fun exercises in the textbook 'Reinforcement Learning - An Introduction'
Reinforcement Learning Project - Mountain Car
Own researches in reinforcement learning using openai-gym.
Sutton's Mountain Car Problem with Value Iteration
University Course Assignment - Reinforcement Learning
Mountain Car is a Reinforcement Learning task that aims to learn the policy of climbing a steep hill and reaching the flag-marked goal. we use Q-learning to find the optimal policy in each case.
Implementation of SARSA Semi-Gradient Method on the Mountain Car Open AI Environment.
Double deep q network implementation in OpenAI Gym's "Mountain Car" environment
This repository contains codes of deep deducing solving the classic control problems.
Reinforcement learning algorithm implementation for "Artificial Intelligence" course project, La Sapienza, Rome, Italy, 2018
Code for the Genetic Algorithms for Mapping Evolution (GAME), a project done at Johns Hopkins University during Fall 2022.
Python implementation of the Particle Swarm Optimization algorithm and some variants
APReL: Active preference-based reward learning for human-robot interaction. Utilizing "Mountain Car" environment, learn from human preferences to reach the goal state. Applications in robotics and adaptability to other learning methods.
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