OpenClaw-RL: Personalizing AI Agents from Conversation Feedback
How to make your AI assistant learn your preferences from natural conversations. Build the full OpenClaw-RL pipeline: session-aware rollouts, Binary RL with GRPO-TCR, On-Policy Distillation with hindsight hints, and the RLAnything closed loop.
intermediate~4 hours4 notebooksOpenClaw-RLPersonalizationGRPO-TCROn-Policy DistillationProcess Reward ModelRLAnythingConversation RL
Curator of this Module
Dr. Rajat Dandekar
Course Instructor
Dr. Rajat Dandekar is a researcher and educator specializing in AI/ML, with a passion for making complex concepts accessible through intuitive explanations and hands-on learning.
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Learning Path
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Notebook 12
Notebook 23
Notebook 34
Notebook 4Case Study
Certificate