A key-door gridworld planner built from logical implications achieves zero invalid actions, but the approach is equivalent to classical forward-chaining symbolic planning, not a new reinforcement-learning paradigm.
P., Lozano-P´ erez, T., Journal of Artificial Intelligence Research, 61, 215-289 (2018)
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Constructive Symbolic Reinforcement Learning via Intuitionistic Logic and Goal-Chaining Inference
A key-door gridworld planner built from logical implications achieves zero invalid actions, but the approach is equivalent to classical forward-chaining symbolic planning, not a new reinforcement-learning paradigm.