policy
Lunar-Lander-Using-Reinforcement-learning
Vrush17 · PyTorch
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Overview
Name
Lunar-Lander-Using-Reinforcement-learning
Author
Vrush17
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This project implements a Reinforcement Learning (RL) solution to solve the LunarLander-v3 environment from OpenAI Gym. The goal is to train an intelligent agent to land a spacecraft smoothly between designated flags on a lunar surface using learned policies.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
0No environments list Lunar-Lander-Using-Reinforcement-learning yet.
Datasets that reference this policy
0No datasets reference Lunar-Lander-Using-Reinforcement-learning yet.