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Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning.

, and . ICMLA, page 337-344. IEEE Computer Society, (2009)

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An Empirical Study of Potential-Based Reward Shaping and Advice in Complex, Multi-Agent Systems., , and . Advances in Complex Systems, 14 (2): 251-278 (2011)Reinforcement Learning with Reward Shaping and Mixed Resolution Function Approximation., and . IJATS, 1 (2): 36-54 (2009)On the convergence of techniques that improve value iteration., and . IJCNN, page 1-8. IEEE, (2013)Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning., and . ICMLA, page 337-344. IEEE Computer Society, (2009)POMDP planning and execution in an augmented space., and . AAMAS, page 757-764. IFAAMAS/ACM, (2014)Improving Language Modelling with Noise-contrastive estimation., and . CoRR, (2017)An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance., and . ICAISC, volume 5097 of Lecture Notes in Computer Science, page 1041-1051. Springer, (2008)Multigrid Reinforcement Learning with Reward Shaping., and . ICANN (1), volume 5163 of Lecture Notes in Computer Science, page 357-366. Springer, (2008)Controller Compilation and Compression for Resource Constrained Applications., , and . ADT, volume 8176 of Lecture Notes in Computer Science, page 193-207. Springer, (2013)Multi-agent, reward shaping for RoboCup KeepAway., , and . AAMAS, page 1227-1228. IFAAMAS, (2011)