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Found 5 papers, 2 papers with code
Safe Reinforcement Learning via Probabilistic Logic Shields
To this end, we introduce Probabilistic Logic Policy Gradient (PLPG).
Adaptive Multi-Agent Continuous Learning System
We propose an adaptive multi-agent clustering recognition system that can be self-supervised driven, based on a temporal sequences continuous learning mechanism with adaptability.
Learning Probabilistic Temporal Safety Properties from Examples in Relational Domains
The task then consists of learning this unknown formula from states that are labeled as safe or unsafe by a domain expert.
Lifted Model Checking for Relational MDPs
We present pCTL-REBEL, a lifted model checking approach for verifying pCTL properties of relational MDPs.
Model-based Reinforcement Learning
reinforcement-learning
+1
Leaving Goals on the Pitch: Evaluating Decision Making in Soccer
Our key conclusion is that teams would score more goals if they shot more often from outside the penalty box in a small number of team-specific locations.
