---
tags:
- PandaReachDense-v3
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: Actor-Critic
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: PandaReachDense-v3
      type: PandaReachDense-v3
    metrics:
    - type: mean_reward
      value: -1.54 +/- 1.04
      name: mean_reward
      verified: false
---

  # Actor-Critic Agent Playing PandaReachDense-v3

  This is a trained model of an A2C agent playing PandaReachDense-v3.

  # Hyperparameters
  hp_seed: 2444<br />hp_torch_deterministic: True<br />hp_total_timesteps: 20500<br />hp_critic_nstep: 1<br />hp_num_envs: 12<br />hp_learning_rate_actor: 0.001<br />hp_learning_rate_critic: 0.005<br />hp_minlr_actor: 2e-06<br />hp_minlr_critic: 1e-05<br />hp_gamma: 0.99<br />hp_reg_term: 3<br />hp_batch_size: 64