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ORCIDBrian C. Williams
Brian Williams 0001 – Brian Charles Williams
Person information
- affiliation: Massachusetts Institute of Technology, CSAIL, Boston, MA, USA
Other persons with the same name
- Brian Williams — disambiguation page
- Brian Williams 0002
![[0000-0002-3174-4876]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3174-4876")
— World Health Organization, Geneva, Switzerland (and 2 more) - Brian Williams 0003 — Edinburgh Napier University, School of Health and Social Care, UK (and 1 more)
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2020 – today
- 2024
[c149]Viraj Parimi, Sungkweon Hong, Brian Williams:
Task-driven Risk-bounded Hierarchical Reinforcement Learning Based on Iterative Refinement. AAAI Spring Symposia 2024: 573-575- [c148]Yuening Zhang, Paul Robertson, Tianmin Shu, Sungkweon Hong, Brian C. Williams:
Risk-Bounded Online Team Interventions via Theory of Mind. ICRA 2024: 12964-12970 - [i50]Marlyse Reeves, Brian C. Williams:
LaPlaSS: Latent Space Planning for Stochastic Systems. CoRR abs/2404.07063 (2024) - 2023
- [j43]Sungkweon Hong, Brian C. Williams:
An anytime algorithm for constrained stochastic shortest path problems with deterministic policies. Artif. Intell. 316: 103846 (2023) - [j42]Cheng Fang, Brian C. Williams:
A conflict-directed approach to chance-constrained mixed logical linear programming. Artif. Intell. 323: 103972 (2023) - [j41]Siyu Dai, Wei Xu, Andreas G. Hofmann, Brian C. Williams:
An empowerment-based solution to robotic manipulation tasks with sparse rewards. Auton. Robots 47(5): 617-633 (2023) - [j40]Ashkan Jasour, Weiqiao Han, Brian C. Williams:
Convex risk-bounded continuous-time trajectory planning and tube design in uncertain nonconvex environments. Int. J. Robotics Res. 42(10): 705-728 (2023) - [c147]Yuening Zhang, Brian C. Williams:
Adaptation and Communication in Human-Robot Teaming to Handle Discrepancies in Agents' Beliefs about Plans. ICAPS 2023: 462-471 - [c146]Weiqiao Han, Ashkan Jasour, Brian C. Williams:
Real-Time Tube-Based Non-Gaussian Risk Bounded Motion Planning for Stochastic Nonlinear Systems in Uncertain Environments via Motion Primitives. IROS 2023: 2885-2892 - [c145]Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao:
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving. IROS 2023: 5530-5536 - [c144]Weiqiao Han, Ashkan Jasour, Brian Williams:
Non-Gaussian Uncertainty Minimization Based Control of Stochastic Nonlinear Robotic Systems. IROS 2023: 8147-8154 - [e3]Brian Williams, Yiling Chen, Jennifer Neville:
Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023. AAAI Press 2023, ISBN 978-1-57735-880-0 [contents] - [i49]Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams:
Chance-Constrained Trajectory Optimization for High-DOF Robots in Uncertain Environments. CoRR abs/2302.00122 (2023) - [i48]Weiqiao Han, Ashkan Jasour, Brian C. Williams:
Non-Gaussian Uncertainty Minimization Based Control of Stochastic Nonlinear Robotic Systems. CoRR abs/2303.01628 (2023) - [i47]Weiqiao Han, Ashkan Jasour, Brian C. Williams:
Real-Time Tube-Based Non-Gaussian Risk Bounded Motion Planning for Stochastic Nonlinear Systems in Uncertain Environments via Motion Primitives. CoRR abs/2303.01631 (2023) - [i46]Ashkan Jasour, Weiqiao Han, Brian C. Williams:
Convex Risk Bounded Continuous-Time Trajectory Planning and Tube Design in Uncertain Nonconvex Environments. CoRR abs/2305.17291 (2023) - [i45]Yuening Zhang, Brian C. Williams:
Adaptation and Communication in Human-Robot Teaming to Handle Discrepancies in Agents' Beliefs about Plans. CoRR abs/2307.03362 (2023) - 2022
- [j39]Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams:
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures. Auton. Robots 46(1): 269-282 (2022) - [j38]Cheng Fang, Andrew J. Wang, Brian C. Williams:
Chance-constrained Static Schedules for Temporally Probabilistic Plans. J. Artif. Intell. Res. 75: 1323-1372 (2022) - [c143]Han Zhang, Jingkai Chen, Jiaoyang Li, Brian C. Williams, Sven Koenig:
Multi-Agent Path Finding for Precedence-Constrained Goal Sequences. AAMAS 2022: 1464-1472 - [c142]Qiao Sun, Xin Huang, Junru Gu, Brian C. Williams, Hang Zhao:
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction. CVPR 2022: 6533-6542 - [c141]Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. ICRA 2022: 2906-2912 - [c140]Weiqiao Han, Ashkan Jasour, Brian C. Williams:
Non-Gaussian Risk Bounded Trajectory Optimization for Stochastic Nonlinear Systems in Uncertain Environments. ICRA 2022: 11044-11050 - [c139]Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao:
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling. IROS 2022: 11416-11423 - [c138]Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
TIP: Task-Informed Motion Prediction for Intelligent Vehicles. IROS 2022: 11432-11439 - [i44]Qiao Sun, Xin Huang, Junru Gu, Brian C. Williams, Hang Zhao:
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction. CoRR abs/2202.11884 (2022) - [i43]Jingkai Chen, Jiaoyang Li, Yijiang Huang, Caelan Reed Garrett, Dawei Sun, Chuchu Fan, Andreas G. Hofmann, Caitlin Mueller, Sven Koenig, Brian C. Williams:
Cooperative Task and Motion Planning for Multi-Arm Assembly Systems. CoRR abs/2203.02475 (2022) - [i42]Weiqiao Han, Ashkan Jasour, Brian C. Williams:
Non-Gaussian Risk Bounded Trajectory Optimization for Stochastic Nonlinear Systems in Uncertain Environments. CoRR abs/2203.03038 (2022) - [i41]Sungkweon Hong, Brian C. Williams:
Hierarchical Constrained Stochastic Shortest Path Planning via Cost Budget Allocation. CoRR abs/2205.05228 (2022) - [i40]Majid Khonji, Rashid Alyassi, Wolfgang Merkt, Areg Karapetyan, Xin Huang, Sungkweon Hong, Jorge Dias, Brian C. Williams:
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection. CoRR abs/2210.01766 (2022) - [i39]Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao:
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling. CoRR abs/2210.14413 (2022) - [i38]Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao:
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving. CoRR abs/2211.01634 (2022) - 2021
- [j37]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman:
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. IEEE Robotics Autom. Lett. 6(3): 4433-4440 (2021) - [j36]Siyu Dai, Andreas G. Hofmann, Brian C. Williams:
Fast-Reactive Probabilistic Motion Planning for High-Dimensional Robots. SN Comput. Sci. 2(6): 484 (2021) - [c137]Jingkai Chen, Jiaoyang Li, Chuchu Fan, Brian C. Williams:
Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances. AAAI 2021: 11237-11245 - [c136]Yuening Zhang, Brian C. Williams:
Privacy-Preserving Algorithm for Decoupling of Multi-Agent Plans with Uncertainty. ICAPS 2021: 426-434 - [c135]Ashkan Jasour, Weiqiao Han, Brian C. Williams:
Real-Time Risk-Bounded Tube-Based Trajectory Safety Verification. CDC 2021: 4307-4313 - [c134]Jingkai Chen, Brian C. Williams, Chuchu Fan:
Optimal mixed discrete-continuous planning for linear hybrid systems. HSCC 2021: 8:1-8:12 - [c133]Sungkweon Hong, Sang Uk Lee, Xin Huang, Majid Khonji, Rashid Alyassi, Brian C. Williams:
An Anytime Algorithm for Chance Constrained Stochastic Shortest Path Problems and Its Application to Aircraft Routing. ICRA 2021: 475-481 - [c132]Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian C. Williams:
Risk Conditioned Neural Motion Planning. IROS 2021: 9057-9063 - [c131]Siyu Dai, Wei Xu, Andreas G. Hofmann, Brian C. Williams:
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards. Robotics: Science and Systems 2021 - [c130]Ashkan Jasour, Weiqiao Han, Brian C. Williams:
Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments. Robotics: Science and Systems 2021 - [c129]Jingkai Chen, Yuening Zhang, Cheng Fang, Brian C. Williams:
Generalized Conflict-Directed Search for Optimal Ordering Problems. SOCS 2021: 46-54 - [i37]Ashkan Jasour, Allen Wang, Brian C. Williams:
Moment-Based Exact Uncertainty Propagation Through Nonlinear Stochastic Autonomous Systems. CoRR abs/2101.12490 (2021) - [i36]Jingkai Chen, Brian Charles Williams, Chuchu Fan:
Optimal Mixed Discrete-Continuous Planning for Linear Hybrid Systems. CoRR abs/2102.08261 (2021) - [i35]Jingkai Chen, Yuening Zhang, Cheng Fang, Brian C. Williams:
Generalized Conflict-directed Search for Optimal Ordering Problems. CoRR abs/2104.00060 (2021) - [i34]Ashkan Jasour, Weiqiao Han, Brian Charles Williams:
Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments. CoRR abs/2106.05489 (2021) - [i33]Siyu Dai, Andreas G. Hofmann, Brian Williams:
Automatic Curricula via Expert Demonstrations. CoRR abs/2106.09159 (2021) - [i32]Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian Charles Williams:
Risk Conditioned Neural Motion Planning. CoRR abs/2108.01851 (2021) - [i31]Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams:
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures. CoRR abs/2109.09975 (2021) - [i30]Ashkan Jasour, Weiqiao Han, Brian Charles Williams:
Real-Time Risk-Bounded Tube-Based Trajectory Safety Verification. CoRR abs/2110.00233 (2021) - [i29]Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. CoRR abs/2110.02344 (2021) - [i28]Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
TIP: Task-Informed Motion Prediction for Intelligent Systems. CoRR abs/2110.08750 (2021) - 2020
- [j35]Eric Timmons, Brian Charles Williams:
Best-First Enumeration Based on Bounding Conflicts, and its Application to Large-scale Hybrid Estimation. J. Artif. Intell. Res. 67: 1-34 (2020) - [j34]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman:
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. IEEE Robotics Autom. Lett. 5(4): 5089-5096 (2020) - [j33]Allen Wang, Ashkan Jasour, Brian C. Williams:
Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles Under Agent Uncertainty. IEEE Robotics Autom. Lett. 5(4): 6041-6048 (2020) - [c128]Eric Timmons, Brian C. Williams:
Best-first Enumeration Based on Bounding Conflicts, and its Application to Large-scale Hybrid Estimation (Extended Abstract). IJCAI 2020: 5130-5134 - [c127]Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian Charles Williams:
Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles. IROS 2020: 6237-6244 - [c126]Sang Uk Lee, Sungkweon Hong, Andreas G. Hofmann, Brian Williams:
QSRNet: Estimating Qualitative Spatial Representations from RGB-D Images. IROS 2020: 8057-8064 - [c125]Allen Wang, Xin Huang, Ashkan Jasour, Brian Charles Williams:
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures. Robotics: Science and Systems 2020 - [i27]Allen Wang, Ashkan Jasour, Brian C. Williams:
Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles in the Presence of Uncertain Agents. CoRR abs/2002.10999 (2020) - [i26]Charles Dawson, Andreas G. Hofmann, Brian C. Williams:
Fast Certification of Collision Probability Bounds with Uncertain Convex Obstacles. CoRR abs/2003.07792 (2020) - [i25]Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams:
Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles. CoRR abs/2003.07811 (2020) - [i24]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. CoRR abs/2003.08003 (2020) - [i23]Allen Wang, Ashkan Jasour, Brian C. Williams:
Moment State Dynamical Systems for Nonlinear Chance-Constrained Motion Planning. CoRR abs/2003.10379 (2020) - [i22]Allen Wang, Xin Huang, Ashkan Jasour, Brian C. Williams:
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures. CoRR abs/2005.13458 (2020) - [i21]Richard G. Freedman, Steven J. Levine, Brian C. Williams, Shlomo Zilberstein:
Helpfulness as a Key Metric of Human-Robot Collaboration. CoRR abs/2010.04914 (2020) - [i20]Siyu Dai, Wei Xu, Andreas G. Hofmann, Brian Charles Williams:
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards. CoRR abs/2010.07986 (2020) - [i19]Siyu Dai, Andreas G. Hofmann, Brian C. Williams:
Fast-reactive probabilistic motion planning for high-dimensional robots. CoRR abs/2012.02118 (2020) - [i18]Jingkai Chen, Jiaoyang Li, Chuchu Fan, Brian Charles Williams:
Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances. CoRR abs/2012.09052 (2020)
2010 – 2019
- 2019
- [j32]Nikhil Bhargava, Brian C. Williams:
Complexity bounds for the controllability of temporal networks with conditions, disjunctions, and uncertainty. Artif. Intell. 271: 1-17 (2019) - [j31]Márcio da Silva Arantes, Claudio Fabiano Motta Toledo, Brian Charles Williams, Masahiro Ono:
Collision-Free Encoding for Chance-Constrained Nonconvex Path Planning. IEEE Trans. Robotics 35(2): 433-448 (2019) - [c124]Jingkai Chen, Cheng Fang, David Wang, Andrew J. Wang, Brian C. Williams:
Efficiently Exploring Ordering Problems through Conflict-Directed Search. ICAPS 2019: 97-105 - [c123]Xin Huang, Sungkweon Hong, Andreas G. Hofmann, Brian C. Williams:
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments. ICAPS 2019: 214-222 - [c122]Nikhil Bhargava, Brian C. Williams:
Multiagent Disjunctive Temporal Networks. AAMAS 2019: 458-466 - [c121]Ashkan M. Jasour, Brian C. Williams:
Sequential Chance Optimization For Flow-Tube Based Control Of Probabilistic Nonlinear Systems. CDC 2019: 5392-5399 - [c120]Matthew Orton, Siyu Dai, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams:
Improving Incremental Planning Performance through Overlapping Replanning and Execution. ICRA 2019: 2426-2432 - [c119]Siyu Dai, Shawn Schaffert, Ashkan Jasour, Andreas G. Hofmann, Brian Charles Williams:
Chance Constrained Motion Planning for High-Dimensional Robots. ICRA 2019: 8805-8811 - [c118]Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman:
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. ICRA 2019: 9718-9724 - [c117]Nikhil Bhargava, Brian C. Williams:
Faster Dynamic Controllability Checking in Temporal Networks with Integer Bounds. IJCAI 2019: 5509-5515 - [c116]Majid Khonji, Ashkan Jasour, Brian C. Williams:
Approximability of Constant-horizon Constrained POMDP. IJCAI 2019: 5583-5590 - [c115]Nikhil Bhargava, Brian C. Williams:
Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty (Extended Abstract). IJCAI 2019: 6353-6357 - [c114]Sang Uk Lee, Andreas G. Hofmann, Brian C. Williams:
A Model-Based Human Activity Recognition for Human-Robot Collaboration. IROS 2019: 736-743 - [c113]Ashkan M. Jasour, Brian C. Williams:
Risk Contours Map for Risk Bounded Motion Planning under Perception Uncertainties. Robotics: Science and Systems 2019 - [i17]Nikhil Bhargava, Brian C. Williams:
Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty. CoRR abs/1901.02307 (2019) - [i16]Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman:
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. CoRR abs/1901.05105 (2019) - [i15]Xin Huang, Sungkweon Hong, Andreas G. Hofmann, Brian C. Williams:
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments. CoRR abs/1904.02341 (2019) - [i14]Jingkai Chen, Cheng Fang, David Wang, Andrew J. Wang, Brian Charles Williams:
Efficiently Exploring Ordering Problems through Conflict-directed Search. CoRR abs/1904.07366 (2019) - [i13]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. CoRR abs/1911.12736 (2019) - 2018
- [j30]Enrique Fernández-González, Brian C. Williams, Erez Karpas:
ScottyActivity: Mixed Discrete-Continuous Planning with Convex Optimization. J. Artif. Intell. Res. 62: 579-664 (2018) - [j29]Steven James Levine, Brian Charles Williams:
Watching and Acting Together: Concurrent Plan Recognition and Adaptation for Human-Robot Teams. J. Artif. Intell. Res. 63: 281-359 (2018) - [c112]Jingkai Chen, Cheng Fang, Christian J. Muise, Howard E. Shrobe, Brian C. Williams, Peng Yu:
RADMAX: Risk and Deadline Aware Planning for Maximum Utility. AAAI Workshops 2018: 225-230 - [c111]Ashkan M. Jasour, Andreas G. Hofmann, Brian C. Williams:
Moment-Sum-of-Squares Approach for Fast Risk Estimation in Uncertain Environments. CDC 2018: 2445-2451 - [c110]Xin Huang, Ashkan Jasour, Matthew Deyo, Andreas G. Hofmann, Brian C. Williams:
Hybrid Risk-Aware Conditional Planning with Applications in Autonomous Vehicles. CDC 2018: 3608-3614 - [c109]Nikhil Bhargava, Christian J. Muise, Tiago Vaquero, Brian Charles Williams:
Managing Communication Costs under Temporal Uncertainty. IJCAI 2018: 84-90 - [c108]Nikhil Bhargava, Christian J. Muise, Brian Charles Williams:
Variable-Delay Controllability. IJCAI 2018: 4660-4666 - [c107]Siyu Dai, Matthew Orton, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams:
Improving Trajectory Optimization Using a Roadmap Framework. IROS 2018: 8674-8681 - [i12]Benjamin J. Ayton, Brian C. Williams:
Vulcan: A Monte Carlo Algorithm for Large Chance Constrained MDPs with Risk Bounding Functions. CoRR abs/1809.01220 (2018) - [i11]Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams:
Moment-Sum-Of-Squares Approach For Fast Risk Estimation In Uncertain Environments. CoRR abs/1810.01577 (2018) - [i10]Siyu Dai, Matthew Orton, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams:
Improving Trajectory Optimization using a Roadmap Framework. CoRR abs/1811.02044 (2018) - [i9]Siyu Dai, Shawn Schaffert, Ashkan Jasour, Andreas G. Hofmann, Brian Charles Williams:
Chance Constrained Motion Planning for High-Dimensional Robots. CoRR abs/1811.03073 (2018) - [i8]Aaron Huang, Benjamin J. Ayton, Brian C. Williams:
RADMPC: A Fast Decentralized Approach for Chance-Constrained Multi-Vehicle Path-Planning. CoRR abs/1811.09914 (2018) - 2017
- [j28]Andreas G. Hofmann, Brian C. Williams:
Temporally and spatially flexible plan execution for dynamic hybrid systems. Artif. Intell. 247: 266-294 (2017) - [j27]Jesimar da Silva Arantes, Márcio da Silva Arantes, Claudio Fabiano Motta Toledo, Onofre Trindade Júnior, Brian Charles Williams:
Heuristic and Genetic Algorithm Approaches for UAV Path Planning under Critical Situation. Int. J. Artif. Intell. Tools 26(1): 1760008:1-1760008:30 (2017) - [j26]Peng Yu, Brian Charles Williams, Cheng Fang, Jing Cui, Patrik Haslum:
Resolving Over-Constrained Temporal Problems with Uncertainty through Conflict-Directed Relaxation. J. Artif. Intell. Res. 60: 425-490 (2017) - [c106]Kaito Ariu, Cheng Fang, Márcio da Silva Arantes, Cláudio Toledo, Brian Charles Williams:
Chance-Constrained Path Planning with Continuous Time Safety Guarantees. AAAI Workshops 2017 - [c105]Enrique Fernández-González, Erez Karpas, Brian Charles Williams:
Mixed Discrete-Continuous Planning with Convex Optimization. AAAI 2017: 4574-4580 - [c104]Jesimar da Silva Arantes, Márcio da Silva Arantes, Claudio Fabiano Motta Toledo, Onofre Trindade Júnior, Brian C. Williams:
An embedded system architecture based on genetic algorithms for mission and safety planning with UAV. GECCO 2017: 1049-1056 - [c103]Nikhil Bhargava, Tiago Stegun Vaquero, Brian C. Williams:
Faster Conflict Generation for Dynamic Controllability. IJCAI 2017: 4280-4286 - [c102]Felipe W. Trevizan, Sylvie Thiébaux, Pedro Henrique Santana, Brian C. Williams:
I-dual: Solving Constrained SSPs via Heuristic Search in the Dual Space. IJCAI 2017: 4954-4958 - [i7]Malik Ghallab, Nick Hawes, Daniele Magazzeni, Brian C. Williams, Andrea Orlandini:
Planning and Robotics (Dagstuhl Seminar 17031). Dagstuhl Reports 7(1): 32-73 (2017) - 2016
- [c101]Pedro Henrique de Rodrigues Quemel e Assis Santana, Sylvie Thiébaux, Brian Charles Williams:
RAO*: An Algorithm for Chance-Constrained POMDP's. AAAI 2016: 3308-3314 - [c100]Joshua Greene, Francesca Rossi, John Tasioulas, Kristen Brent Venable, Brian Charles Williams:
Embedding Ethical Principles in Collective Decision Support Systems. AAAI 2016: 4147-4151 - [c99]Pedro Henrique de Rodrigues Quemel e Assis Santana, Tiago Vaquero, Cláudio Toledo, Andrew J. Wang, Cheng Fang, Brian Charles Williams:
PARIS: A Polynomial-Time, Risk-Sensitive Scheduling Algorithm for Probabilistic Simple Temporal Networks with Uncertainty. ICAPS 2016: 267-275 - [c98]Felipe W. Trevizan, Sylvie Thiébaux, Pedro Henrique Santana, Brian Charles Williams:
Heuristic Search in Dual Space for Constrained Stochastic Shortest Path Problems. ICAPS 2016: 326-334 - [c97]Márcio da Silva Arantes, Jesimar da Silva Arantes, Claudio Fabiano Motta Toledo, Brian Charles Williams:
A Hybrid Multi-Population Genetic Algorithm for UAV Path Planning. GECCO 2016: 853-860 - [c96]Peng Yu, Jiaying Shen, Peter Z. Yeh, Brian Charles Williams:
Resolving Over-Constrained Conditional Temporal Problems Using Semantically Similar Alternatives. IJCAI 2016: 3300-3307 - [c95]Peng Yu, Jiaying Shen, Peter Z. Yeh, Brian Charles Williams:
Towards Personal Assistants that Can Help Users Plan. IVA 2016: 424-428 - [i6]Szymon Sidor, Peng Yu, Cheng Fang, Brian Charles Williams:
Time Resource Networks. CoRR abs/1602.03203 (2016) - 2015
- [c94]Pedro Henrique Santana, Spencer Lane, Eric Timmons, Brian Charles Williams, Carlos Forster:
Learning Hybrid Models with Guarded Transitions. AAAI 2015: 1847-1853 - [c93]David Wang, Brian Charles Williams:
tBurton: A Divide and Conquer Temporal Planner. AAAI 2015: 3409-3417 - [c92]