README.md

metadata

library_name: stable-baselines3
tags:
  - PandaReachDense-v2
  - deep-reinforcement-learning
  - reinforcement-learning
  - stable-baselines3
model-index:
  - name: A2C
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: PandaReachDense-v2
          type: PandaReachDense-v2
        metrics:
          - type: mean_reward
            value: '-0.99 +/- 0.20'
            name: mean_reward
            verified: false

A2C Agent playing PandaReachDense-v2

This is a trained model of a A2C agent playing PandaReachDense-v2 using the stable-baselines3 library.

Hyperparameters

# 4
policy = "MultiInputPolicy"
learning_rate=0.001
gamma=0.95
time_steps=100000
...