Thomas Dean 's AcademicInfluence.com Rankings Thomas Dean 's Degrees Similar Degrees You Can Earn Why Is Thomas Dean Influential? (Suggest an Edit or Addition)
According to Wikipedia , Thomas L. Dean is an American computer scientist known for his work in robot planning, probabilistic graphical models, and computational neuroscience. He was one of the first to introduce ideas from operations research and control theory to artificial intelligence. In particular, he introduced the idea of the anytime algorithm and was the first to apply the factored Markov decision process to robotics. He has authored several influential textbooks on artificial intelligence.
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Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
1870 1880 1890 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 0 125 250 375 500 625 750 875 1000 1125 1250 1375 1500 1625 1750 1875 Published Works Decision-Theoretic Planning: Structural Assumptions and Computational Leverage (1999) A model for reasoning about persistence and causation (1989) An Analysis of Time-Dependent Planning (1988) (1055)Planning and Control (1991) On the Complexity of Solving Markov Decision Problems (1995) (569)Temporal Data Base Management (1987) Solving Time-Dependent Planning Problems (1989) (395)Equivalence notions and model minimization in Markov decision processes (2003) Hierarchical Solution of Markov Decision Processes using Macro-actions (1998) (320)Deliberation Scheduling for Problem Solving in Time-Constrained Environments (1994) Planning under Time Constraints in Stochastic Domains (1993) Bounded-parameter Markov decision processes (2000) Planning With Deadlines in Stochastic Domains (1993) (254)Model Minimization in Markov Decision Processes (1997) (248)Solving Very Large Weakly Coupled Markov Decision Processes (1998) (232)Decomposition Techniques for Planning in Stochastic Domains (1995) (187)Planning and Scheduling (1997) (155)Planning under uncertainty: structural assumptions and computational leverage (1996) (151)Reasoning About Partially Ordered Events (1988) Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes (1997) (130)Artificial intelligence - theory and practice (1995) Automated planning (1996) Hierarchical planning involving deadlines, travel time, and resources (1988) Probabilistic Temporal Reasoning (1988) (114)A Model for Projection and Action (1989) (83)Bounded Parameter Markov Decision Processes (1997) Coping with Uncertainty in a Control System for Navigation and Exploration (1990) (70)Using temporal hierarchies to efficiently maintain large temporal databases (1989) Temporal imagery: an approach to reasoning about time for planning and problem solving (1986) (65)Inferring finite automata with stochastic output functions and an application to map learning (1992) A Computational Model of the Cerebral Cortex (2005) (58)INTRACTABILITY AND TIME-DEPENDENT PLANNING (1987) Challenge problems for artificial intelligence (1996) (51)A decision-theoretic approach to planning, perception, and control (1992) A Framework for the Development of Multiagent Architectures (1996) Deadlines, Travel Time, and Robot Problem Solving (1985) (40)Reinforcement Learning for Planning and Control (1993) Learning Dynamics: System Identification for Perceptually Challenged Agents (1995) Strategic directions in artificial intelligence (1996) Incremental Causal Reasoning (1987) (30)Coping with Uncertainty in Map Learning (1989) Decision‐theoretic control of inference for time‐critical applications (1991) 1992 AAAI Robot Exhibition and Competition (1993) Deliberation Scheduling for Time-Critical Sequential Decision Making (1993) Sensor abstractions for control of navigation (1991) Solving Stochastic Planning Problems with Large State and Action Spaces (1998) (24)Map Learning with Indistinguishable Locations (2013) Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning (1992) Learning invariant features using inertial priors (2006) Planning and temporal reasoning under uncertainty (1984) (23)Solving Time-critical Decision-making Problems with Predictable Computational Demands (1994) (23)An Approach to Reasoning About Continuous Change for Applications in Planning (1990) (21)Statistical Machine Learning for Large-Scale Optimization (2000) (21)Solving Factored MDPs with Large Action Space Using Algebraic Decision Diagrams (2002) A Retrospective of the AAAI Robot Competitions (1997) Persistence and probabilistic projection (1989) Uncertainty in Graph-Based Map Learning (1993) Generating optimal policies for high-level plans with conditional branches and loops (1996) (18)Using Goals to Find Plans with High Expected Utility (1993) (18)Temporal Reasoning Involving Counterfactuals and Disjunctions (1985) (17)Large-Scale Temporal Data Bases for Planning in Complex Domains (1987) (17)Model Minimization, Regression, and Propositional STRIPS Planning (1997) (16)AAAI Robot Exhibition and Competition (15)Anticipating computational demands when solving time-critical decision-making problems (1995) (14)Approximate Solutions to Factored Markov Decision Processes via Greedy Search in the Space of Finite State Controllers (2000) (13)On the Prospects for Building a Working Model of the Visual Cortex (2007) (13)Exploiting Locality in Temporal Reasoning (1993) (12)Probabilistic causal reasoning (2013) Time Map Maintenance. (1983) (12)Solving Factored MDPs via Non-Homogeneous Partitioning (2001) (11)A Conditional Scheduling Approach to Designing Real-Time Systems (1998) (11)The Forbin Paper. (1987) (10)Integrating theory and practice in planning (1996) Model-based Monitoring, Diagnosis and Control (2003) (9)Coordinating, Planning and Control (1991) LOCALIZED TEMPORAL REASONING USING SUBGOALS AND ABSTRACT EVENTS (1996) Probabilistic network representations of continuous-time stochastic processes for applications in planning and control (1992) Solving factored MDPs using non-homogeneous partitions (2003) Reasoning about the effects of actions in automated planning systems (1988) A Formal Description of the Transportation Problem (1992) (7)Monte Carlo Simulation and Bottleneck-Centered Heuristics for Time-Critical Scheduling in Stochastic Domains (1994) (7)Toward learning time-varying functions with high input dimensionality (1990) Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI 99, Stockholm, Sweden, July 31 - August 6, 1999. 2 Volumes, 1450 pages (1999) (6)Prediction, observation and estimation in planning and control (1990) Strategic Directions in Artificial Intelligence (Reprint) (1997) Challenges for Theory and Practice in Planning (1996) (5)Locating a mobile robot using local observations and a global satellite map (1988) Package Routing in Transportation Networks with Fixed Vehicle Schedules: Formulation, Complexity Results and Approximation Algorithms (1992) Representations and Algorithms for Large Stochastic Planning Problems (2001) (4)On The Complexity Of Integrating Spatial Measurements (1989) Handling shared resources in a temporal data base management system (1986) Deliberation Scheduling for Time-Critical Scheduling in Stochastic Domains (1994) (3)Time-Critical Planning and Scheduling Research at Brown University (1994) (3)Model Minimization in Markov Decision (1997) (3)Challenge Problems for Artificial Intelligence (Panel Statements) (1996) (3)Tradeoffs in the Design of On-Line Systems (1997) (2)Exploiting Locality in Searching the Web (2002) (2)Approximation algorithms for planning and control (1989) (2)High-Level Planning And Low-Level Control (1988) Exploiting the structure of the web for spidering (2005) (1)Localized Temporal Reasoning: A State-Based Approach (1994) (1)Package routing in transportation networks with fixed vehicle schedules (1996) Time-Critical Scheduling in Stochastic Domains (1994) (1)Strategic Directions in Artificial Intelligence 1 (1997) (1)Time-Critical Planning and Scheduling inStochastic Domains ( Extended Abstract ) (2007) (0)Robots With AI: A Retrospective on the AAAI Robot Competitions and Exhibitions (1996) (0)Model Acquisition for Markov Decision Problems (1998) Statistical Machine Learning for Large-Scale Optimization Contributors (0)Reasoning About Indistinguishable Locations (1989) European Workshop on Planning ( EWSP ’ 93 ) Using Goals to Find (2007) (0)Prediction and causal reasoning in planning (1987) (0)A Formal Description of the Transportation Problem a Formal Description of the Transportation Problem (1992) (0)Satellite-map position estimation for the Mars rover (1989) (0)A Review of the First AAAI Robotics Competition (2001) (0)A Declslon-lheodc Approach fm Planning, Perueption, and conrfrol (1992) (0)Meditations on Time and Space: Expediting Temporal Inference by Exploiting Structure in Time and Space (Abstract) (1994) (0)[4] Reinforcement Learning for Planning and Control (2008) (0)Probabilistic Tern (1999) (0)Context-dependent computational components (1996) A Framework for Hie Developmen# of Mul#;agen# (1996) (0)DISTRIBUTED PLANNING AND CONTROL FOR APPLICATIONS IN TRANSPORTATION SCHEDULING (1995) Representing and Solving Air Campaign Problems as Partially Observable Markov Decision Problems (2001) The 1996 AAAI Spring Symposia Reports (1996) Designing On-Line Systems A common approach to modeling dynamical (2002) (0)CS-- 1995 -01 Coping with Uncertainty in Map Learning (1989) (0)Incremental Causal (1999) (0)More Papers This paper list is powered by the following services:
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