Implementation of a Hybrid Shielded-CMDP framework for safe smart grid voltage control
-
Updated
Apr 27, 2026 - Jupyter Notebook
#
constrained-mdp
Here are 3 public repositories matching this topic...
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
-
Updated
Feb 12, 2025 - 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
-
Updated
May 10, 2026 - Python
Improve this page
Add a description, image, and links to the constrained-mdp topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the constrained-mdp topic, visit your repo's landing page and select "manage topics."