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Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms.

, , , and . ICAC, page 131-140. IEEE Computer Society, (2018)

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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)Action Markets in Deep Multi-Agent Reinforcement Learning., , , and . ICANN (2), volume 11140 of Lecture Notes in Computer Science, page 240-249. Springer, (2018)Difficulty Classification of Mountainbike Downhill Trails utilizing Deep Neural Networks., , , and . CoRR, (2019)The Sharer's Dilemma in Collective Adaptive Systems of Self-interested Agents., , , , and . ISoLA (3), volume 11246 of Lecture Notes in Computer Science, page 241-256. Springer, (2018)Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation., , , and . AAMAS, page 730-738. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies., , , , , and . AAMAS, page 2162-2164. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Automated Recognition and Difficulty Assessment of Boulder Routes., , , and . HealthyIoT, volume 225 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 62-68. Springer, (2017)