Topic: lunarlander-v2 Goto Github
Some thing interesting about lunarlander-v2
Some thing interesting about lunarlander-v2
lunarlander-v2,Useless try to create neural network
User: 0xf104a
lunarlander-v2,Solving OpenAI Gym's Lunar Lander environment using Deep Reinforcement Learning
User: abhinand5
lunarlander-v2,Deep RL implementations. DQN, SAC, DDPG, TD3, PPO and VPG implemented in pytorch. Tested Env: LunarLander-v2 and Pendulum-v0.
User: akashe
Home Page: https://akashe.io/blog/2020/10/14/policy-gradient-methods/
lunarlander-v2,Behaviour Cloning On OpenAI Environment
User: akashkmr27089
lunarlander-v2,Deep Q-Learning algorithms to solve LunarLander-v2.
User: albjerto
lunarlander-v2,Deep Q-Network example from Udacity's Deep Reinforcement Learning Nanodegree.
User: antonio-f
lunarlander-v2,OpenAI LunarLander-v2 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
User: danielpalaio
lunarlander-v2,This is a Deep Reinforcement Learning solution for the Lunar Lander problem in OpenAI Gym using dueling network architecture and the double DQN algorithm.
User: enriqmancomp
lunarlander-v2,Self-solving control problems from OpenAI Gym with NEAT
User: fralotito
lunarlander-v2,Deep Q-Network aplicado no OpenAI Gym's LunarLander-v2 environment
User: goismarcos
lunarlander-v2,Muesli RL algorithm implementation (PyTorch) (LunarLander-v2)
User: itomigna2
lunarlander-v2,đ Paper: Continuous control with deep reinforcement learning đšī¸
User: jihoonerd
lunarlander-v2,Semester project for the AI Applications class of the MSc in Artificial Intelligence
User: jokoum
lunarlander-v2,Research internship during the 5th semester of my B.Sc CBT degree @ TUM CS
User: kbudkiewicz
lunarlander-v2,Implementation of reinforcement learning algorithms for the OpenAI Gym environment LunarLander-v2
User: lazavgeridis
lunarlander-v2,PyTorch application of reinforcement learning algorithm in OpenAI LunarLander - DDPG
User: leonjovanovic
lunarlander-v2,Implement RL algorithms in PyTorch and test on Gym environments.
User: lexiconium
lunarlander-v2,PPO Clip first-order method for the LunarLander discrete environment
User: m4mbo
lunarlander-v2,Deep Reinforcement Learning on Lunar Lander gym environment
User: manisha2612
lunarlander-v2,Deep learning and Neural Networks course labs&homeworks&assignments
User: mballarin97
lunarlander-v2,RL with OpenAI Gym
User: mikes96
lunarlander-v2,reinforcement learning Double Deep Q Learning (DDQN) method to solve OpenAi Gym "LunarLander-v2" by usnig Double Deep NeuralNetworks
User: mohammadasadolahi
lunarlander-v2,Gradient Free Reinforcement Learning solving Openai gym LunarLanderV2 by Evolution Strategy (Genetic Algorithm)
User: mohammadasadolahi
lunarlander-v2,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.
User: orestismk
lunarlander-v2,Deep RL based solution of LunarLander-v2 environment.
User: pchandra90
lunarlander-v2,Teaching to an agent to play the Lunar Lander game from OpenAI Gym using REINFORCE.
User: riccardocadei
lunarlander-v2,Trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
User: rishisim
lunarlander-v2,This project uses the pytorch package to implement DQN and DDPG models to automate the LunarLander-v2 and LunarLanderContinuous-v2 games.
User: secondlevel
lunarlander-v2,We apply DQN algorithm to make and artificial agent learn how to land space-craft on moon.
User: shivankyadav
lunarlander-v2,LunarLander-v2 learning how to land efficiently using DQN and DDQN for training
User: siavashshams
lunarlander-v2,This repository contains a re-implementation of the Proximal Policy Optimization (PPO) algorithm, originally sourced from Stable-Baselines3.
User: slimshadys
lunarlander-v2,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
User: wecet
lunarlander-v2,Implementation of reinforcement learning algorithms for the OpenAI Gym environment LunarLander-v2
User: yuchen071
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