OpenAI's Procgen: Reinforcement Learning in Procedurally Generated Environments
Published:Dec 3, 2019 18:48
•1 min read
•Hacker News
Analysis
This article highlights OpenAI's Procgen, a framework for training reinforcement learning agents within procedurally generated game-like environments. The focus is likely on improving the robustness and generalizability of RL agents.
Key Takeaways
- •Procgen allows for training RL agents in diverse and scalable environments.
- •Procedural generation increases the agent's ability to generalize to new situations.
- •This framework can accelerate research in RL and potentially improve real-world applications.
Reference
“OpenAI Procgen uses procedurally generated game environments.”