Globally Safe Model-free Exploration of Dynamical Systems
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Updated
Nov 11, 2024 - Python
Globally Safe Model-free Exploration of Dynamical Systems
Conformal policy control for AI agents
All the material needed to use ADVICE for the safe exploration of reinforcement learning agents.
Project files of CS780: Deep Reinforcement Learning
A glass-box, safety-shielded agent for the ARC-AGI-3 interactive reasoning benchmark: object-centric perception, a human-readable learned world model, BFS planning, and an online-learned safety shield. CPU-only, no hosted LLM, honest live-API evaluation.
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