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---
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
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