Suivre
Siddharth Srivastava
Titre
Citée par
Citée par
Année
Combined task and motion planning through an extensible planner-independent interface layer
S Srivastava, E Fang, L Riano, R Chitnis, S Russell, P Abbeel
2014 IEEE International Conference on Robotics and Automation (ICRA), 639-646, 2014
6432014
Anonymizing social networks
M Hay, G Miklau, D Jensen, P Weis, S Srivastava
Computer science department faculty publication series, 180, 2007
5132007
Anonymizing social networks
M Hay, G Miklau, D Jensen, P Weis, S Srivastava
Computer Science Department Faculty Publication Series, 180, 2007
5042007
Learning Generalized Reactive Policies using Deep Neural Networks
E Groshev, A Tamar, M Goldstein, S Srivastava, P Abbeel
ICAPS, 2018
1412018
A new representation and associated algorithms for generalized planning
S Srivastava, N Immerman, S Zilberstein
Artificial Intelligence 175 (2), 615-647, 2011
1132011
Simulating reachability using first-order logic with applications to verification of linked data structures
T Lev-Ami, N Immerman, T Reps, M Sagiv, S Srivastava, G Yorsh, ]
Logical Methods in Computer Science 5, 2009
1052009
Hierarchical Expertise Level Modeling for User-Specific Contrastive Explanations
S Sreedharan, S Srivastava, S Kambhampati
IJCAI, 2018
99*2018
Platform-independent benchmarks for task and motion planning
F Lagriffoul, NT Dantam, C Garrett, A Akbari, S Srivastava, LE Kavraki
IEEE Robotics and Automation Letters 3 (4), 3765-3772, 2018
972018
Guided search for task and motion plans using learned heuristics
R Chitnis, D Hadfield-Menell, A Gupta, S Srivastava, E Groshev, C Lin, ...
2016 IEEE International Conference on Robotics and Automation (ICRA), 447-454, 2016
952016
Guided Search for Task and Motion Plans Using Learned Heuristics
PA Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth ...
ICRA, 2016
95*2016
Learning Generalized Plans Using Abstract Counting.
S Srivastava, N Immerman, S Zilberstein
AAAI 8, 991-997, 2008
952008
A unified framework for planning in adversarial and cooperative environments
A Kulkarni, S Srivastava, S Kambhampati
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2479-2487, 2019
772019
Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks
S Sreedharan, S Srivastava, D Smith, S Kambhampati
International Joint Conference on Artificial Intelligence, 2019
722019
Markovian State and Action Abstractions for MDPs via Hierarchical MCTS.
A Bai, S Srivastava, SJ Russell
IJCAI, 3029-3039, 2016
692016
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning.
R Karia, S Srivastava
Proc. AAAI, 2021
542021
Using classical planners for tasks with continuous operators in robotics
S Srivastava, L Riano, S Russell, P Abbeel
Intl. Conf. on Automated Planning and Scheduling, 2013
542013
Qualitative numeric planning
S Srivastava, S Zilberstein, N Immerman, H Geffner
Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 1010-1016, 2011
502011
Anytime integrated task and motion policies for stochastic environments
N Shah, DK Vasudevan, K Kumar, P Kamojjhala, S Srivastava
2020 IEEE International Conference on Robotics and Automation (ICRA), 9285-9291, 2020
432020
Directed search for generalized plans using classical planners
S Srivastava, N Immerman, S Zilberstein, T Zhang
Proceedings of the International Conference on Automated Planning and …, 2011
402011
Asking the Right Questions: Learning Interpretable Action Models Through Query Answering
P Verma, SR Marpally, S Srivastava
Proc. AAAI, 2021
392021
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