PandaReachDense-v3 deep-reinforcement-learning reinforcement-learning stable-baselines3

A2C Agent playing PandaReachDense-v3

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

Usage (with Stable-baselines3)

from stable_baselines3 import A2C
from huggingface_sb3 import load_from_hub

model = load_from_hub(repo_id='Francesco-A/a2c-PandaReachDense-v3',
                     filename= 'a2c-PandaReachDense-v3.zip')

Training details (last output)

Metric Value
rollout/ep_len_mean 4.05
rollout/ep_rew_mean -0.317
time/fps 378
time/iterations 50000
time/time_elapsed 2641
time/total_timesteps 1000000
train/entropy_loss 1.25
train/explained_variance 0.975
train/learning_rate 0.0007
train/n_updates 49999
train/policy_loss -0.0935
train/std 0.185
train/value_loss 0.0306