AI "Behavior Cloning" for fast Residual RL (MIT, Harvard)

Latest AI research for imitation learning (IL), w/ focus on Behavioral Cloning a student policy from a teacher AI sys. Sim-to-Real Transfer.
Imagine the future of space exploration where robots autonomously build habitats for humans on Mars. This vision is becoming reality through the advanced interplay of behavior cloning and reinforcement learning. Utilizing AI's behavioral cloning, an agent learns from human experts to perform precise tasks like assembling a Martian shelter. The approach combines the stability of pre-trained models with the adaptability of reinforcement learning to refine robotic actions. This hybrid method ensures the robots can handle the unpredictable Martian environment, offering a pragmatic solution for autonomous construction with limited computational resources.
The innovation lies in the meticulous layering of AI techniques. Initially, a behavior cloning model learns from human demonstrations, forming a foundational policy. This base is further refined using reinforcement learning, which provides small but critical corrections, optimizing the robot's performance without destabilizing the original model. By generating vast synthetic data from simulated environments, the system gains robustness, bridging the gap between controlled simulations and the dynamic real-world conditions on Mars. This method not only enhances the robot's precision but also streamlines its operational complexity, making it feasible to run on the limited hardware available everywhere, also on Mars and satellites of the outer solar system.
All rights w/ authors:
From Imitation to Refinement -
Residual RL for Precise Visual Assembly
arxiv.org/pdf/...
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[@MusingsAndIdeas]

This is disturbingly similar to children learning basic tasks, and then getting better with practice

[@Hshjshshjsj72727]

Yes whats wrong with that 😂