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Multi-objectivization of reinforcement learning problems by reward shaping., , , , , and . IJCNN, page 2315-2322. IEEE, (2014)Lifelong learning for disturbance rejection on mobile robots., , , , , , and . IROS, page 3993-3998. IEEE, (2016)An Introduction to Intertask Transfer for Reinforcement Learning., and . AI Magazine, 32 (1): 15-34 (2011)Abstraction and Generalization in Reinforcement Learning: A Summary and Framework., , and . ALA, volume 5924 of Lecture Notes in Computer Science, page 1-32. Springer, (2009)Speeding up Tabular Reinforcement Learning Using State-Action Similarities., , and . AAMAS, page 1722-1724. ACM, (2017)Pre-training with non-expert human demonstration for deep reinforcement learning., , and . Knowledge Eng. Review, (2019)Protecting against evaluation overfitting in empirical reinforcement learning., , , and . ADPRL, page 120-127. IEEE, (2011)Autonomously Reusing Knowledge in Multiagent Reinforcement Learning., , and . IJCAI, page 5487-5493. ijcai.org, (2018)Reinforcement Learning from Demonstration through Shaping., , , , , and . IJCAI, page 3352-3358. AAAI Press, (2015)Keepaway Soccer: From Machine Learning Testbed to Benchmark., , , and . RoboCup, volume 4020 of Lecture Notes in Computer Science, page 93-105. Springer, (2005)