lunarlander-v2

There are 0 repository under lunarlander-v2 topic.

DanielPalaio / LunarLander-v2_DeepRL
OpenAI LunarLander-v2 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
tensorflow keras deep-reinforcement-learning openai-gym openai dqn dueling-dqn d3qn deeprl lunarlander-v2 dqn-tensorflow
Language:Python 35
Itomigna2 / Muesli-lunarlander
Muesli RL algorithm implementation (PyTorch) (LunarLander-v2)
colab reinforcement-learning deep-learning lunarlander-v2 model-based-rl muesli muzero
Language:Jupyter Notebook 13
lazavgeridis / LunarLander-v2
Implementation of reinforcement learning algorithms for the OpenAI Gym environment LunarLander-v2
lunarlander-v2 openai-gym reinforcement-learning
Language:Python 13
lexiconium / RL-Gym-PyTorch
Implement RL algorithms in PyTorch and test on Gym environments.
cartpole-v1 ddpg dqn gym lunarlander-v2 mountaincarcontinuos-v0 openai-gym pendulum-v0 ppo pytorch reinforcement-learning td3 walker2d-v2
Language:Python 8
abhinand5 / lunar-lander-deep-rl
Solving OpenAI Gym's Lunar Lander environment using Deep Reinforcement Learning
deep-learning neural-networks deep-reinforcement-learning tensorflow2 lunarlander-v2 openai-gym reinforcement-learning q-learning markov-decision-processes
Language:Python 6
leonjovanovic / drl-ddpg-lunar-lander
PyTorch application of reinforcement learning algorithm in OpenAI LunarLander - DDPG
ddpg ddpg-pytorch lunarlander-v2 pytorch
Language:Python 6
MikeS96 / rl_openai
RL with OpenAI Gym
reinforcement-learning rl openai-gym policy-gradient value-function experience-replay ai pytorch pendulum-v0 lunarlander-v2 mountaincar-v0
Language:Jupyter Notebook 6
riccardocadei / LunarLander-v2-REINFORCE
Teaching to an agent to play the Lunar Lander game from OpenAI Gym using REINFORCE.
deep-reinforcement-learning reinforce lunarlander-v2
Language:Jupyter Notebook 6
ShivankYadav / LunarLander-using-DQN
We apply DQN algorithm to make and artificial agent learn how to land space-craft on moon.
dqn-pytorch reinforcement-learning-algorithms lunarlander-v2 ai artificial-intelligence-algorithms python neural-networks openai-gym
Language:Jupyter Notebook 6
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
ddqn ddqn-lunar-lander deep-reinforcement-learning dqn gym-environments lunarlander-v2
Language:Jupyter Notebook 4
akashe / DeepReinforcementLearning
Deep RL implementations. DQN, SAC, DDPG, TD3, PPO and VPG implemented in pytorch. Tested Env: LunarLander-v2 and Pendulum-v0.
deep-rl-implementations algorithms pytorch-implementation lunarlander-v2 pendulum-v0 vpg sac ddpg td3 ppo ppo-pytorch
Language:Python 3
SiavashShams / DQN-for-OpenAI-LunarLander-v2
LunarLander-v2 learning how to land efficiently using DQN and DDQN for training
ddqn dqn lunar-lander lunarlander-v2 reinforcement-learning
Language:Jupyter Notebook 3
jihoonerd / Continuous-Control-with-Deep-Reinforcement-Learning
📖 Paper: Continuous control with deep reinforcement learning 🕹️
ddpg reinforcement-learning pytorch atari lunarlander-v2
Language:Python 2
JoKoum / collaborative-lunar-lander
Semester project for the AI Applications class of the MSc in Artificial Intelligence
pytorch reinforcement-learning python gym-environment human-robot-collaboration lunarlander-v2 soft-actor-critic gym
Language:Python 2
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)
dqn evolutionary-algorithms genetic-algorithm gradient-free-optimization lunarlander-v2 openai-gym-environment pytorch reinfrocement-learning
Language:Jupyter Notebook 2
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.
lunarlander-v2 ddpg deep-reinforcement-learning dqn lunarlandercontinuous-v2
Language:Python 2
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
rl ai sarsa q lunarlander-v2 taxi-v3 cem reinforcement-learning gym machine-learning
Language:Jupyter Notebook 2
yuchen071 / DQN-for-LunarLander-v2
Implementation of reinforcement learning algorithms for the OpenAI Gym environment LunarLander-v2
dqn pytorch lunarlander-v2 reinforcement-learning openai-gym
Language:Jupyter Notebook 2
albemordo / dqn
tensorflow reinforcement-learning reinforcement-learning-algorithms dqn dqn-tensorflow dqn-algorithm dqn-model lunar-lander lunarlander-v2 lunarlander deep-learning deep-neural-networks deep-reinforcement-learning gradient-descent gradient-tape gradient-tape-optimization
Language:Jupyter Notebook 1
albjerto / moon-landing
Deep Q-Learning algorithms to solve LunarLander-v2.
ddqn deep-rl double-dqn dqn dueling-ddqn dueling-dqn lunarlander-v2 openai-gym python pytorch reinforcement-learning rl
Language:Python 1
antonio-f / Deep_Q-Network
Deep Q-Network example from Udacity's Deep Reinforcement Learning Nanodegree.
reinforcement-learning dqn dqn-pytorch deep-learning deep-q-network deep-q-learning pytorch tutorial 101 openai-gym gym lunarlander-v2 pybox2d box2d
Language:Jupyter Notebook 1
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.
d3qn deep-reinforcement-learning deeprl dqn-pytorch dueling-ddqn lunar-lander lunarlander-v2 openai-gym pytorch torch
Language:Jupyter Notebook 1
mballarin97 / DLNN2020
Deep learning and Neural Networks course labs&homeworks&assignments
reinforcement-learning gym pytorch optuna mnist-classification autoencoder denoising-autoencoders variational-autoencoder cartpole-v1 cartpole-pixels lunarlander-v2 encoded-space-analysis
Language:Jupyter Notebook 1
akashkmr27089 / Behavior_Cloning
Behaviour Cloning On OpenAI Environment
behaviour-clonning daggr reinforce reinforcement-learning openai-gym lunar-lander lunarlander-v2 python policy-gradient
Language:Jupyter Notebook 0
FraLotito / neat-control
Self-solving control problems from OpenAI Gym with NEAT
algorithms evolutionary-algorithms reinforcement-learning neat-python neat cartpole neural-networks lunarlander-v2
Language:Python 0
goismarcos / DQN_lunar_lander
Deep Q-Network aplicado no OpenAI Gym's LunarLander-v2 environment
deep-reinforcement-learning dqn lunar-lander lunarlander-v2 reinforcement-learning reinforcement-learning-algorithms
Language:Jupyter Notebook 0
kbudkiewicz / research-internship-RL
Research internship during the 5th semester of my B.Sc CBT degree @ TUM CS
deep-q-learning gym-environment lunarlander-v2 reinforcement-learning
Language:Python 0
m4mbo / lunarlander-ppo-clip
This repository showcases the implementation of a PPO Clip first-order method to solve the LunarLander discrete environment
actor-critic lunarlander-v2 ppo pytorch reinforcement-learning
Language:Jupyter Notebook 0
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.
reinforcement-learning q-learning e-greedy boltzmann-exploration policy-gradient taxi-driver lunarlander-v2
0
0x50f13 / useless-thing
Useless try to create neural network
useless machine-learning machine-learning-algorithms gym-environment lunarlander-v2 lunar-lander optimization optimization-algorithms
Language:Python
Manisha2612 / Lunar-Lander-DQN-DDQN
Deep Reinforcement Learning on Lunar Lander gym environment
dqn-pytorch ddqn python pytorch-implementation deep-reinforcement-learning experience-replay prioritized-experience-replay cartpole-v0 lunarlander-v2
Language:Jupyter Notebook
pchandra90 / LunarLander-v2
Deep RL based solution of LunarLander-v2 environment.
deep-reinforcement-learning reinforcement-learning python3 lunarlander-v2
Language:Jupyter Notebook
rishisim / LunarLander-v2
Trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
deep-reinforcement-learning lunarlander-v2 reinforcement-learning stable-baselines3
Language:Jupyter Notebook
SlimShadys / PPO-StableBaselines3
This repository contains a re-implementation of the Proximal Policy Optimization (PPO) algorithm, originally sourced from Stable-Baselines3.
cartpole-v1 lunarlander-v2 ppo proximal-policy-optimization stable-baselines3
Language:Python

lunarlander-v2

DanielPalaio / LunarLander-v2_DeepRL

Itomigna2 / Muesli-lunarlander

lazavgeridis / LunarLander-v2

lexiconium / RL-Gym-PyTorch

abhinand5 / lunar-lander-deep-rl

leonjovanovic / drl-ddpg-lunar-lander

MikeS96 / rl_openai

riccardocadei / LunarLander-v2-REINFORCE

ShivankYadav / LunarLander-using-DQN

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

akashe / DeepReinforcementLearning

SiavashShams / DQN-for-OpenAI-LunarLander-v2

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

JoKoum / collaborative-lunar-lander

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

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

wecet / Experimenations-in-Reinforcement-Learning

yuchen071 / DQN-for-LunarLander-v2

albemordo / dqn

albjerto / moon-landing

antonio-f / Deep_Q-Network

EnriqManComp / Lunar-Lander-DRL-Dueling-DoubleDQN

mballarin97 / DLNN2020

akashkmr27089 / Behavior_Cloning

FraLotito / neat-control

goismarcos / DQN_lunar_lander

kbudkiewicz / research-internship-RL

m4mbo / lunarlander-ppo-clip

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

0x50f13 / useless-thing

Manisha2612 / Lunar-Lander-DQN-DDQN

pchandra90 / LunarLander-v2

rishisim / LunarLander-v2

SlimShadys / PPO-StableBaselines3