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a2c-PandaReachDense-v2
kinkpunk/a2c-PandaReachDense-v2
a2c-PandaReachDense-v2 is a reinforcement learning model from kinkpunk. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3.
This is a trained model of a A2C agent playing PandaReachDense-v2 using the stable-baselines3 library.
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At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Jan 23, 2023
- Updated
- Aug 17, 2023
- SHA
- f32ee3a2
Model card
From the Hugging Face model README
A2C Agent playing PandaReachDense-v2
This is a trained model of a A2C agent playing PandaReachDense-v2 using the stable-baselines3 library.
Usage (with Stable-baselines3)
import pybullet_envs
import panda_gym
import gym
import os
from huggingface_sb3 import load_from_hub, package_to_hub
from stable_baselines3 import A2C
from stable_baselines3.common.evaluation import evaluate_policy
from stable_baselines3.common.vec_env import DummyVecEnv, VecNormalize
from stable_baselines3.common.env_util import make_vec_env
from huggingface_hub import notebook_login
load_model = load_from_hub(
repo_id="kinkpunk/a2c-PandaReachDense-v2",
filename="a2c-PandaReachDense-v2.zip",
)
model = A2C.load(load_model)
Panda Gym environments: arxiv.org/abs/2106.13687
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Jan 23, 2023
- Updated
- Aug 17, 2023