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winkin119/
MBPO-ReacherV5

Name: MBPO-ReacherV5
Availability: InStock

tensorboard

Reacher-v5

mbpo

reinforcement-learning

custom-implementation

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MBPO Agent playing Reacher-v5

This is a trained model of a MBPO agent playing Reacher-v5.

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/MBPO-ReacherV5", filename="full_model.pt")

# Create the environment. 
env = gym.make("Reacher-v5")
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.