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Context-sensitive reward shaping for sparse interaction multi-agent systems.

, , , and . Knowledge Eng. Review, 31 (1): 59-76 (2016)

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Generation of dilemma-based interactive narratives with a changeable story goal., and . INTETAIN, page 6. ICST/ACM, (2008)Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence., , , and . AAAI, page 1687-1693. AAAI Press, (2014)Using plan-based reward shaping to learn strategies in StarCraft: Broodwar., and . CIG, page 1-8. IEEE, (2013)Knowledge Revision for Reinforcement Learning with Abstract MDPs., and . AAMAS, page 763-770. ACM, (2015)Context-sensitive reward shaping for sparse interaction multi-agent systems., , , and . Knowledge Eng. Review, 31 (1): 59-76 (2016)An Empirical Analysis of Terminological Representation Systems., , , and . Artif. Intell., 68 (2): 367-397 (1994)Deep Multi-Agent Reinforcement Learning with Relevance Graphs., , , , and . CoRR, (2018)Tuning an Algorithm Using Design of Experiments., and . Experimental Methods for the Analysis of Optimization Algorithms, Springer, (2010)Tuning the Performance of the MMAS Heuristic., and . SLS, volume 4638 of Lecture Notes in Computer Science, page 46-60. Springer, (2007)Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems., , and . Adaptive Agents and Multi-Agents Systems, volume 2636 of Lecture Notes in Computer Science, page 18-32. Springer, (2002)