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cs.AI2025
Deontically Constrained Policy Improvement in Reinforcement Learning Agents
Alena Makarova, Houssam Abbas
Markov Decision Processes (MDPs) are the most common model for decision making under uncertainty in the Machine Learning community. An MDP captures non-determinism, probabilistic u…
cs.AI2024
Formal Ethical Obligations in Reinforcement Learning Agents: Verification and Policy Updates
Colin Shea-Blymyer, Houssam Abbas
When designing agents for operation in uncertain environments, designers need tools to automatically reason about what agents ought to do, how that conflicts with what is actually…