Procgen Benchmark

1. 1Access the Procgen Benchmark repository
2. 2Explore the 16 procedurally-generated environments
3. 3Use the benchmark to evaluate reinforcement learning agent performance
4. 4Analyze results to identify areas for improvement

Machine learning engineers and researchers on a team can use Procgen Benchmark to evaluate and improve their reinforcement learning models, while data scientists can utilize it to analyze and compare agent performance

💡 Procgen Benchmark provides a direct measure of how quickly a reinforcement learning agent learns generalizable skills

🤖 Measure RL agent performance with Procgen Benchmark!