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The Robocup Physical Agent Challenge: Phase I., , , , , , , , , and . Appl. Artif. Intell., 12 (2-3): 251-263 (1998)Interactive Policy Learning through Confidence-Based Autonomy., and . J. Artif. Intell. Res., (2009)Science for robotics and robotics for science., , , , , , , , and . Sci. Robotics, (2016)Multi-Armed Bandit Algorithms for Spare Time Planning of a Mobile Service Robot., and . AAMAS, page 2195-2197. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)Finding objects through stochastic shortest path problems., and . AAMAS, page 547-554. IFAAMAS, (2013)Multiple Hypothesis for Object Class Disambiguation from Multiple Observations., , and . 3DV, page 91-98. IEEE Computer Society, (2014)Learning State Features from Policies to Bias Exploration in Reinforcement Learning., and . AAAI/IAAI, page 981. AAAI Press / The MIT Press, (1999)ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources., , , and . AAAI, page 222-228. AAAI Press, (2016)Biped Walk Learning Through Playback and Corrective Demonstration., and . AAAI, page 1594-1599. AAAI Press, (2010)SetA*: An Efficient BDD-Based Heuristic Search Algorithm., , and . AAAI/IAAI, page 668-673. AAAI Press / The MIT Press, (2002)