Paper summary
Paper summary: OpenClaw-RL: Train Any Agent Simply by Talking
OpenClaw-RL turns the next state after every agent action (a user's reply, a tool output, a GUI change) into live training signal, so a personal agent improves online simply by being used.
- Every interaction already produces feedback: the user's next message or the tool's output. This system learns from it online.
- It extracts two kinds of signal: evaluative (was that good?) and directive (what should have been done?).