Globally Safe Model-free Exploration of Dynamical Systems
-
Updated
Nov 11, 2024 - Python
#
safe-exploration
Here are 5 public repositories matching this topic...
Conformal policy control for AI agents
-
Updated
Aug 1, 2026 - Jupyter Notebook
All the material needed to use ADVICE for the safe exploration of reinforcement learning agents.
-
Updated
Oct 21, 2025 - Python
Project files of CS780: Deep Reinforcement Learning
-
Updated
Apr 21, 2024 - Jupyter Notebook
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.
python agent benchmark numpy planning ai-safety curiosity reasoning interpretability explainable-ai world-models safe-reinforcement-learning object-centric safe-exploration arc-agi cpu-only agent-safety arc-agi-3 glass-box interactive-reasoning
-
Updated
Jun 28, 2026 - Python
Add this topic to your repo
To associate your repository with the safe-exploration topic, visit your repo's landing page and select "manage topics."