README.md

metadata

library_name: stable-baselines3
tags:
  - PandaReachDense-v3
  - deep-reinforcement-learning
  - reinforcement-learning
  - stable-baselines3
model-index:
  - name: A2C
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: PandaReachDense-v3
          type: PandaReachDense-v3
        metrics:
          - type: mean_reward
            value: '-0.20 +/- 0.09'
            name: mean_reward
            verified: false

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