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Anomaly Detection in Spatial Layer Models of Autonomous Agents.

, , , and . IDEAL (1), volume 11314 of Lecture Notes in Computer Science, page 156-163. Springer, (2018)

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A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games., , , , , and . CoRR, (2019)Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning., , , , and . CoRR, (2019)Anomaly Detection in Spatial Layer Models of Autonomous Agents., , , and . IDEAL (1), volume 11314 of Lecture Notes in Computer Science, page 156-163. Springer, (2018)Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling., , , , , and . AAAI, page 7941-7948. AAAI Press, (2019)Risk-Sensitivity in Simulation Based Online Planning., , , , , , and . KI, volume 11117 of Lecture Notes in Computer Science, page 229-240. Springer, (2018)Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms., , , and . ICAC, page 131-140. IEEE Computer Society, (2018)Scenario co-evolution for reinforcement learning on a grid world smart factory domain., , , , , , , , , and 1 other author(s). GECCO, page 898-906. ACM, (2019)Action Markets in Deep Multi-Agent Reinforcement Learning., , , and . ICANN (2), volume 11140 of Lecture Notes in Computer Science, page 240-249. Springer, (2018)Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning., , , , and . IJCAI, page 5607-5613. ijcai.org, (2019)Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search., , , , and . IJCAI, page 5562-5568. ijcai.org, (2019)