Topic: mountain-car Goto Github
Some thing interesting about mountain-car
Some thing interesting about mountain-car
mountain-car,Comparing VPG, TRPO and PPO from Policy Gradient family
User: a13xe
mountain-car,Reinforcement learning algorithms to solve OpenAI gym environments
User: adesgautam
mountain-car,solution to mountain car problem of OpenAI Gym
User: adibyte95
mountain-car,A car is on a one-dimensional track, positioned between two "mountains". The goal is to drive up the mountain on the right; however, the car's engine is not strong enough to scale the mountain in a single pass. Therefore, the only way to succeed is to drive back and forth to build up momentum.
User: alexandrulita91
mountain-car,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.
User: amirhosein-javadi
mountain-car,Sutton's Mountain Car Problem with Value Iteration
User: auralius
mountain-car,Q Learning, SARSA, Expected SARSA to solve OpenAI's gym.mountain_car environment
User: brodderickrodriguez
mountain-car,This repository contains codes of deep deducing solving the classic control problems.
User: deepdeducing
mountain-car,Reinforcement learning algorithm implementation for "Artificial Intelligence" course project, La Sapienza, Rome, Italy, 2018
User: dhorpynchenko
mountain-car,Code for the Genetic Algorithms for Mapping Evolution (GAME), a project done at Johns Hopkins University during Fall 2022.
User: duyminh1998
mountain-car,An implementation of the paper "Reinforcement learning with a bilinear Q function" on the Mountain Car problem.
User: ebiz95
mountain-car,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.
User: fareedkhan-dev
mountain-car,Deep Reinforcement learning applied on open AI MountainCar environment
User: fdevita92
mountain-car,A simple baseline for mountain-car @ gym
User: greatwallet
mountain-car,Inverse Reinforcement Learning Algorithm implementation with Python
User: hokagem
mountain-car,Implementation of Reinforcement Algorithms from scratch
User: imraviagrawal
mountain-car,:space_invader: My solutions to OpenAI Gym Reinforcement Learning problems.
User: ioarun
mountain-car,Implementation of SARSA Semi-Gradient Method on the Mountain Car Open AI Environment.
User: kaleabtessera
mountain-car,University Course Assignment - Reinforcement Learning
User: kenanmorani
mountain-car,Own researches in reinforcement learning using openai-gym.
User: livankrekh
mountain-car,Reinforcement Learning Project - Mountain Car
User: markvasin
mountain-car,This repo implements Deep Q-Network (DQN) for solving the Mountain Car v0 environment (discrete version) of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 with a custom reward function for faster convergence.
User: mehdishahbazi
mountain-car,Double deep q network implementation in OpenAI Gym's "Mountain Car" environment
User: mehrabkalantary
mountain-car,Code for some fun exercises in the textbook 'Reinforcement Learning - An Introduction'
User: mohith-sakthivel
mountain-car,solve let do irl
User: morris73198
mountain-car,Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
User: mpatacchiola
Home Page: https://mpatacchiola.github.io/blog/
mountain-car,My programs during CS747 (Foundations of Intelligent and Learning Agents) Autumn 2021-22
User: paramrathour
mountain-car,In this all Projects dealing with reinforcement learning wil be uploaded
User: pavankunchala
mountain-car,Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto
User: raklokesh
mountain-car,This repository contains implementations of Inverse Reinforcement Learning (IRL) algorithms based on the paper "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000)
User: shaz-5
mountain-car,Solving OpenAI Gym problems.
User: shivaverma
mountain-car,Implementing reinforcement learning algorithms using TensorFlow and Keras in OpenAI Gym
User: spirosbax
mountain-car,Reinforcement Learning algorithms SARSA, Q-Learning, DQN, for Classical and MuJoCo Environments and testing them with OpenAI Gym.
User: srnand
mountain-car,This repo is for playing with reinforcement learning algorithms. I am either using openai gym or ViZDoom as an environment.
User: thevasudevgupta
mountain-car,
User: tomasspangelo
mountain-car,Small university project for experimentally training and evaluating reinforcement learning agents in OpenAI Gym environments using DQN. Trained DQN agent wins entire 21-round Atari Pong game. Includes CartPole, Acrobot,, etc.
Organization: university-project-repos
Home Page: https://youtube.com/playlist?list=PLcPfzo2p7brHwyAORic1_jfBMKp0InkPt
mountain-car,Deep RL toy example based on gym package with several methods
User: weiyx16
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