A2C Agent playing PandaReachDense-v3

This is a trained model of an A2C agent playing PandaReachDense-v3 using the stable-baselines3 library.

Evaluation Results

  • Mean Reward: -0.24 +/- 0.14
  • Score (mean - std): -0.38 (Required: >= -3.5)

Usage

import gymnasium as gym
import panda_gym
from stable_baselines3 import A2C
from huggingface_sb3 import load_from_hub

repo_id = "saisowrya/a2c-PandaReachDense-v3"
filename = "a2c-PandaReachDense-v3.zip"

model = load_from_hub(repo_id=repo_id, filename=filename)
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Evaluation results