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winkin119/
Rainbow-1d-LunarLander-v3-NoPer

Name: Rainbow-1d-LunarLander-v3-NoPer
Availability: InStock

tensorboard

LunarLander-v3

rainbow-dqn (with uniform sampling)

reinforcement-learning

custom-implementation

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Rainbow-DQN (with uniform sampling) Agent playing LunarLander-v3

This is a trained model of a Rainbow-DQN (with uniform sampling) agent playing LunarLander-v3.

Usage

create the conda env in https://github.com/GeneHit/drl_practice

bash

conda create -n drl python=3.12
conda activate drl
python -m pip install -r requirements.txt

play with full model

python

# load the full model
model = load_from_hub(repo_id="winkin119/Rainbow-1d-LunarLander-v3-NoPer", filename="full_model.pt")

# Create the environment. 
env = gym.make("LunarLander-v3")
state, _ = env.reset()
action = model.action(state)
...

There is also a state dict version of the model, you can check the corresponding definition in the repo.