PPO Agent Playing Deathmatch-v1
This is a trained model of a PPO agent playing Deathmatch-v1.
Hyperparameters
{'env_id': 'Deathmatch-v1'
'num_envs': 32
'num_steps': 128
'learning_rate': 0.00025
'learning_rate_min': 0.0001
'gamma': 0.99
'gae_lambda': 0.95
'clip_coef': None
'total_timesteps': 10000000
'recurrence': 32
'ent_coef': 0.001
'vf_coef': 0.5
'max_grad_norm': 0.1
'num_minibatches': 4
'update_epochs': 1
'frame_skip': 4}
Evaluation results
- mean_reward on Deathmatch-v1self-reported38.03 +/- 26.60