ECHO: RL Experiments with Terminal World Models
ben_burtenshaw · x · 2026-07-16
The author shares a set of experimental scripts and environments within OpenEnv, focusing on training an Inkling model on ECHO to predict terminal responses to commands.
Key points include:
- Using environment output tokens as supervision signals to learn an implicit world model
- Unlike methods like GRPO, ECHO does not require a verifier
- The goal is for the model to learn to predict world states, rather than just generating answers
Replies mention that combining Inkling, Tinker, and OpenEnv to run on ECHO is "crazy," but it's also a very straightforward way to learn RL.
Related event: ECHO Explores Verifier-Free Reinforcement Learning(3 posts)→
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