DanielPalaio/LunarLander-v2_DeepRL

OpenAI LunarLander-v2 DeepRL-based solutions (DQN, DuelingDQN, D3QN)

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Itomigna2/Muesli-lunarlander

Muesli RL algorithm implementation (PyTorch) (LunarLander-v2)

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lazavgeridis/LunarLander-v2

Implementation of reinforcement learning algorithms for the OpenAI Gym environment LunarLander-v2

Language: Python - Size: 18.2 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 3

abhinand5/lunar-lander-deep-rl

Solving OpenAI Gym's Lunar Lander environment using Deep Reinforcement Learning

Language: Python - Size: 16.6 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 3

ShivankYadav/LunarLander-using-DQN

We apply DQN algorithm to make and artificial agent learn how to land space-craft on moon.

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MikeS96/rl_openai

RL with OpenAI Gym

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SiavashShams/DQN-for-OpenAI-LunarLander-v2

LunarLander-v2 learning how to land efficiently using DQN and DDQN for training

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lexiconium/RL-Gym-PyTorch

Implement RL algorithms in PyTorch and test on Gym environments.

Language: Python - Size: 2.44 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 2

jihoonerd/Continuous-Control-with-Deep-Reinforcement-Learning

📖 Paper: Continuous control with deep reinforcement learning 🕹️

Language: Python - Size: 1.42 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

JoKoum/collaborative-lunar-lander

Semester project for the AI Applications class of the MSc in Artificial Intelligence

Language: Python - Size: 19.5 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

albjerto/moon-landing

Deep Q-Learning algorithms to solve LunarLander-v2.

Language: Python - Size: 1.38 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

akashe/DeepReinforcementLearning

Deep RL implementations. DQN, SAC, DDPG, TD3, PPO and VPG implemented in pytorch. Tested Env: LunarLander-v2 and Pendulum-v0.

Language: Python - Size: 650 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

MohammadAsadolahi/Gradient-Free-Reinforcement-Learning-solving-Openai-gym-LunarLanderV2-by-Evolution-Strategy-python

Gradient Free Reinforcement Learning solving Openai gym LunarLanderV2 by Evolution Strategy (Genetic Algorithm)

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leonjovanovic/drl-ddpg-lunar-lander

PyTorch application of reinforcement learning algorithm in OpenAI LunarLander - DDPG

Language: Python - Size: 7.75 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

MohammadAsadolahi/DDQN_Deep-Double_Q-Learning-for-solving-OpenAi-Gym-LunarLander-v2-in-python

reinforcement learning Double Deep Q Learning (DDQN) method to solve OpenAi Gym "LunarLander-v2" by usnig Double Deep NeuralNetworks

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secondlevel/Deep-Q-Network-and-Deep-Deterministic-Policy-Gradient

This project uses the pytorch package to implement DQN and DDPG models to automate the LunarLander-v2 and LunarLanderContinuous-v2 games.

Language: Python - Size: 2.63 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

yuchen071/DQN-for-LunarLander-v2

Implementation of reinforcement learning algorithms for the OpenAI Gym environment LunarLander-v2

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wecet/Experimenations-in-Reinforcement-Learning

Experiment 1: Comparison of key bandit algorithms; Experiment 2: Comparison of Q and SARSA Learning on Taxiv3 environment' ; Experiment 3: Comparison of Q, SARSA and CEM Learning on LunarLanderv2 Environment

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albemordo/dqn

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riccardocadei/LunarLander-v2-REINFORCE

Teaching to an agent to play the Lunar Lander game from OpenAI Gym using REINFORCE.

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mballarin97/DLNN2020

Deep learning and Neural Networks course labs&homeworks&assignments

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antonio-f/Deep_Q-Network

Deep Q-Network example from Udacity's Deep Reinforcement Learning Nanodegree.

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kbudkiewicz/research-internship-RL

Research internship during the 5th semester of my B.Sc CBT degree @ TUM CS

Language: Python - Size: 13.5 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

mbaranr/reinforcement_gym

Deep RL for OpenAI's Gym environments.

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rishisim/LunarLander-v2

Trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.

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EnriqManComp/Lunar-Lander-DRL-Dueling-DoubleDQN

This is a Deep Reinforcement Learning solution for the Lunar Lander problem in OpenAI Gym using dueling network architecture and the double DQN algorithm.

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SlimShadys/PPO-StableBaselines3

This repository contains a re-implementation of the Proximal Policy Optimization (PPO) algorithm, originally sourced from Stable-Baselines3.

Language: Python - Size: 1.04 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Manisha2612/Lunar-Lander-DQN-DDQN

Deep Reinforcement Learning on Lunar Lander gym environment

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OrestisMk/RF-Q_learning-taxi_driver--Lunanlander-Policy-gradient-

This is a project of reinforcement learning which contains two different environments. The first environment is the taxi driver problem in 4x4 space with the simple Q-learning update rule. In this task, we compared the performance of the e-greedy policy and Boltzmann policy. As a second environment, we chose the LunarLander from the open gym. For the implementation of the project, the Policy gradient has been selected.

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akashkmr27089/Behavior_Cloning

Behaviour Cloning On OpenAI Environment

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FraLotito/neat-control

Self-solving control problems from OpenAI Gym with NEAT

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0xf104a/useless-thing 📦

Useless try to create neural network

Language: Python - Size: 8.79 KB - Last synced at: 11 months ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0