A Post-Asimovian Framework for AI Alignment: adaptive safety constraints via constrained MDPs and psycholinguistic typology. Paper + visualizations.
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Jun 7, 2026 - Jupyter Notebook
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constrained-mdp
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Safe RL for Autonomous Driving: A project using Constrained MDPs to train a vehicle agent for lane-centering, speed adherence, and collision avoidance. Features kinematic modeling, reward shaping, and safety constraints.
reinforcement-learning autonomous-driving collision-avoidance reward-shaping safe-reinforcement-learning safety-constraints constrained-mdp
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Feb 12, 2025 - Jupyter Notebook
Implementation of a Hybrid Shielded-CMDP framework for safe smart grid voltage control
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Apr 27, 2026 - Jupyter Notebook
The agent loop, embodied. Tool-using runtime + fail-closed safety pipeline + sim-first execution + statistically-rigorous bench harness + post-hoc analysis (counterfactual replay, causal attribution, LLM judge, property mining) for embodied AI. Sister project to GhostLM.
agent robotics mcp stl safety causal-inference vla gymnasium ros2 mujoco counterfactual sim2real tool-use safe-rl embodied-ai policy-gates constrained-mdp sim-first property-mining ghostloop
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Jun 10, 2026 - Python
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