An Emergent Framework For Self-Motivation In Developmental Robotics

By James B. Marshall, Douglas S. Blank, Lisa Meeden. 2004

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Citations in the corpus

Active learning of inverse models with intrinsically motivated goal exploration in robots (2013, neutral): “…active learning algorithms which cannot deal with open-ended learning [20,112,113], as well as RIAC-like algorithms different from SAGG-RIAC [16,58,60,114,39,51], we can notice that even if these techniques deal with avoiding excessive exploration in unlearnable or extremely complex areas, the…”
The challenges of joint attention (2006, background): “A major trend in these models is to study the behavior of systems driven by some sort of artificial curiosity or search for optimal experiments (Fedorov, 1972; Schmidhuber, 1991; Cohn et al., 1994; Thrun, 1995; Herrmann et al., 2000; Huang and Weng, 2002; Kaplan and Oudeyer, 2003; Kaplan and Oudeyer”
From hardware and software to kernels and envelopes: a concept shift for robotics, developmental psychology, and brain sciences (2011, background): “Recently, different types of intrinsic motivation systems were explored, mostly in software simulations (Huang and Weng, 2002; Marshall et al., 2004; Steels, 2004).”
Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot (2007, background): “Consequently, researchers in both machine learning [10][11] and developmental robotics [12][13][14] started to investigate systems with a twofold learning process.”
Discovering communication (2006, background): “…types of reinforcement learning architectures in which rewards are provided not from external means but through internal evaluation (Schmidhuber 1991, Thrun 1995, Herrmann et al. 2000, Barto et al. 2004, Marshall et al. 2004, Kaplan and Oudeyer 2004, Oudeyer et al. 2005a, Schmidhuber 2006).”
Evolving Childhood's Length and Learning Parameters in an Intrinsically Motivated Reinforcement Learning Robot (2007, background): “Recently, in both the machine learning and the developmental/epigenetic robotics communities, a number of proposals have been put forward for solving such limitations by relying on autonomous robot development (Kaplan and Oudeyer, 2003; Schmidhuber, 1991; Weng et al., 2001; Huang and Weng, 2002; Mar”
Ieee Transactions on Evolutionary Computation Intrinsic Motivation Systems for Autonomous Mental Development (unknown): “Then, Kaplan and Oudeyer proposed an implementation of artificial curiosity within a developmental framework ([19]), and Marshall, Blank and Meeden as well as Barto, Sing and Chentanez suggested variations on the novelty drive ([20], [21]).”
Intrinsically Motivated Learning in Natural and Artificial Systems (2013, background): “The same is true for the robots used to test the intelligent adaptive curiosity algorithm of Oudeyer and colleagues (2007) and for almost all other systems whose intrinsic motivations are based on knowledge (e.g., Huang and Weng 2002; Lee et al. 2009; Marshall et al. 2004; Merrick and Maher 2009).”