Today we are very excited to launch Morpheus, the world’s first real world Reinforcement Learning environment. Every Reinforcement Learning environment operates in the game world. Benchmarks like Atari, OpenAI Gym, MuJoCo, and Procgen are all small, game-like worlds that reset every few minutes. But the real world never resets. A business keeps running and evolving everyday. Customers churn, suppliers fall through, and yesterday's decisions become today's bottlenecks. Therefore we built Morpheus. It is a simulator and benchmark suite for training and evaluating reinforcement learning agents in structured, evolving enterprise environments. It models persistent worlds with realistic processes such as routing, inventory, and resource allocation that change over time rather than resetting between tasks. We tested the leading RL algorithms : - Standard Reinforcement learning - Experience Replay - Weight Regularization - Latent-Context Models. All of them failed horribly. This proves that RL algorithms are not ready for the real world. We also tested how frontier LLMs would perform in realistic and dynamic enterprise environments on Morpheus. The main conclusion was that LLMs are not continual learners. Do you want to build out your RL agents in the real world? Links: Website: lnkd.in/g-whug6v Environment Hub: lnkd.in/g4VqBnQt Blog: lnkd.in/gw5A4X6r HF: lnkd.in/gwQMUddt
