https://github.com/razvan48/proiect-reinforcement-learning-rl

Proiect Reinforcement Learning (RL) Anul 3, Semestrul 1, Facultatea de Matematica si Informatica, Universitatea din Bucuresti
https://github.com/razvan48/proiect-reinforcement-learning-rl

reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms reinforcement-learning-environments

Last synced: 3 months ago
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Proiect Reinforcement Learning (RL) Anul 3, Semestrul 1, Facultatea de Matematica si Informatica, Universitatea din Bucuresti

• Host: GitHub
• URL: https://github.com/razvan48/proiect-reinforcement-learning-rl
• Owner: Razvan48
• Created: 2024-11-09T14:20:13.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2025-01-13T12:54:06.000Z (5 months ago)
• Last Synced: 2025-01-22T18:50:56.407Z (5 months ago)
• Topics: reinforcement-learning, reinforcement-learning-agent, reinforcement-learning-algorithms, reinforcement-learning-environments
• Language: Python
• Homepage:
• Size: 35.7 MB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Proiect-Reinforcement-Learning-RL

  Proiect Reinforcement Learning (RL) Anul 3, Semestrul 1, Facultatea de Matematica si Informatica, Universitatea din Bucuresti

###   Membrii Echipa: 


Capatina Razvan Nicolae ($352$) 


Ciobanu Dragos ($351$) 


Luculescu Teodor ($351$) 


## Descriere:

  Proiectul va consta in implementarea

unor diversi agenti pentru Humanoid Environment (versiunea 5) (https://www.gymlibrary.dev/environments/mujoco/humanoid)

si compararea performantelor acestora.

  Vom alege niste obiective pe care agentii vor fi nevoiti sa le implineasca si vom compara performantele si implementarile algoritmilor utilizati.

## Task List:

* [x] Integrare Humanoid Environment si rulare.

* [x] Alegerea anumitor agenti pentru implementare:

    * [x] Monte Carlo

    * [x] Deep Q Learning

    * [x] Proximal Policy Optimization

* [x] Documentatie