Investigating Human Priors for Playing Video Games
暂无分享,去创建一个
Alexei A. Efros | Thomas L. Griffiths | Deepak Pathak | Rachit Dubey | Pulkit Agrawal | T. Griffiths | Deepak Pathak | Pulkit Agrawal | Rachit Dubey
[1] Elizabeth S. Spelke,et al. Principles of Object Perception , 1990, Cogn. Sci..
[2] R. Baillargeon. How Do Infants Learn About the Physical World? , 1994 .
[3] Zoubin Ghahramani,et al. Computational principles of movement neuroscience , 2000, Nature Neuroscience.
[4] P. Quinn,et al. Categorization in infancy , 2001, Trends in Cognitive Sciences.
[5] R. Baillargeon. Infants' Physical World , 2004 .
[6] S. Carey. The Origin of Concepts , 2000 .
[7] P. Dayan,et al. Cortical substrates for exploratory decisions in humans , 2006, Nature.
[8] Katherine D. Kinzler,et al. Core knowledge. , 2007, Developmental science.
[9] Angela J. Yu,et al. Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.
[10] Andre Cohen,et al. An object-oriented representation for efficient reinforcement learning , 2008, ICML '08.
[11] Linda B. Smith,et al. Developmental changes in visual object recognition between 18 and 24 months of age. , 2009, Developmental science.
[12] Susan J. Hespos,et al. PSYCHOLOGICAL SCIENCE Research Article Five-Month-Old Infants Have Different Expectations for Solids and Liquids , 2022 .
[13] Noah D. Goodman,et al. The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery , 2011, Cognition.
[14] Zoubin Ghahramani,et al. A Comparison of Human and Agent Reinforcement Learning in Partially Observable Domains , 2011, CogSci.
[15] P. Stone,et al. The Nature of Belief-Directed Exploratory Choice in Human Decision-Making , 2011, Front. Psychology.
[16] Kari S. Kretch,et al. Cliff or step? Posture-specific learning at the edge of a drop-off. , 2013, Child development.
[17] James J. Gibson,et al. The Ecological Approach to Visual Perception: Classic Edition , 2014 .
[18] Christopher G. Lucas,et al. When children are better (or at least more open-minded) learners than adults: Developmental differences in learning the forms of causal relationships , 2014, Cognition.
[19] Samuel Gershman,et al. Novelty and Inductive Generalization in Human Reinforcement Learning , 2015, Top. Cogn. Sci..
[20] Peter Kulchyski. and , 2015 .
[21] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[22] Alex Graves,et al. Asynchronous Methods for Deep Reinforcement Learning , 2016, ICML.
[23] Tom Schaul,et al. Unifying Count-Based Exploration and Intrinsic Motivation , 2016, NIPS.
[24] Joshua B. Tenenbaum,et al. Building machines that learn and think like people , 2016, Behavioral and Brain Sciences.
[25] Sergey Levine,et al. Continuous Deep Q-Learning with Model-based Acceleration , 2016, ICML.
[26] Alexei A. Efros,et al. Curiosity-Driven Exploration by Self-Supervised Prediction , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[27] Joshua B. Tenenbaum,et al. Human Learning in Atari , 2017, AAAI Spring Symposia.
[28] Dileep George,et al. Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics , 2017, ICML.
[29] Satinder Singh,et al. Value Prediction Network , 2017, NIPS.
[30] Regina Barzilay,et al. Deep Transfer in Reinforcement Learning by Language Grounding , 2017, ArXiv.
[31] Regina Barzilay,et al. Grounding Language for Transfer in Deep Reinforcement Learning , 2017, J. Artif. Intell. Res..