ppo-SoccerTwos

This is a trained model of a Reinforcement Learning agent for ML-Agents-SoccerTwos using ml-agents. Created for the Hugging Face Deep RL Course.

Evaluation Results

• Mean Reward: 1.00 +/- 0.10
• Target Environment: ML-Agents-SoccerTwos
• Library: ml-agents
• Model Architecture: PPO Self-Play