Boularias, Abdeslam

28 publications

CoRL 2025 Motion Blender Gaussian Splatting for Dynamic Reconstruction Xinyu Zhang, Haonan Chang, Yuhan Liu, Abdeslam Boularias

CoRL 2024 A3VLM: Actionable Articulation-Aware Vision Language Model Siyuan Huang, Haonan Chang, Yuhan Liu, Yimeng Zhu, Hao Dong, Abdeslam Boularias, Peng Gao, Hongsheng Li

CoRL 2024 Detect Everything with Few Examples Xinyu Zhang, Yuhan Liu, Yuting Wang, Abdeslam Boularias

ICML 2024 Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search Through State Occupancy Regularization Liam Schramm, Abdeslam Boularias

CoRL 2024 Scaling Manipulation Learning with Visual Kinematic Chain Prediction Xinyu Zhang, Yuhan Liu, Haonan Chang, Abdeslam Boularias

CoRL 2023 Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Pu Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas Bekris, Abdeslam Boularias

CoRL 2023 OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data Shiyang Lu, Haonan Chang, Eric Pu Jing, Abdeslam Boularias, Kostas Bekris

CoRL 2022 USHER: Unbiased Sampling for Hindsight Experience Replay Liam Schramm, Yunfu Deng, Edgar Granados, Abdeslam Boularias

IJCAI 2021 Inferring Time-Delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism Junchi Liang, Abdeslam Boularias

L4DC 2021 Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines Junchi Liang, Abdeslam Boularias

L4DC 2020 Identifying Mechanical Models of Unknown Objects with Differentiable Physics Simulations Changkyu Song, Abdeslam Boularias

L4DC 2020 Tools for Data-Driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands Avishai Sintov, Andrew Kimmel, Bowen Wen, Abdeslam Boularias, Kostas Bekris

CoRL 2019 Scene-Level Pose Estimation for Multiple Instances of Densely Packed Objects Chaitanya Mitash, Bowen Wen, Kostas Bekris, Abdeslam Boularias

IJCAI 2018 Fast Model Identification via Physics Engines for Data-Efficient Policy Search Shaojun Zhu, Andrew Kimmel, Kostas E. Bekris, Abdeslam Boularias

JMLR 2016 Gradients Weights Improve Regression and Classification Samory Kpotufe, Abdeslam Boularias, Thomas Schultz, Kyoungok Kim

IJCAI 2016 Learning Qualitative Spatial Relations for Robotic Navigation Abdeslam Boularias, Felix Duvallet, Jean Oh, Anthony Stentz

AAAI 2015 Learning to Manipulate Unknown Objects in Clutter by Reinforcement Abdeslam Boularias, James Andrew Bagnell, Anthony Stentz

AAAI 2015 Toward Mobile Robots Reasoning like Humans Jean H. Oh, Arne Suppé, Felix Duvallet, Abdeslam Boularias, Luis E. Navarro-Serment, Martial Hebert, Anthony Stentz, Jerry Vinokurov, Oscar J. Romero, Christian Lebiere, Robert M. Dean

AAAI 2014 Efficient Optimization for Autonomous Robotic Manipulation of Natural Objects Abdeslam Boularias, James Andrew Bagnell, Anthony Stentz

NeurIPS 2012 Algorithms for Learning Markov Field Policies Abdeslam Boularias, Jan R. Peters, Oliver B. Kroemer

NeurIPS 2012 Gradient Weights Help Nonparametric Regressors Samory Kpotufe, Abdeslam Boularias

UAI 2012 Hilbert Space Embeddings of POMDPs Yu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu

ECML-PKDD 2012 Structured Apprenticeship Learning Abdeslam Boularias, Oliver Krömer, Jan Peters

AAAI 2011 Balancing Safety and Exploitability in Opponent Modeling Zhikun Wang, Abdeslam Boularias, Katharina Mülling, Jan Peters

AAAI 2011 Modeling Opponent Actions for Table-Tennis Playing Robot Zhikun Wang, Abdeslam Boularias, Katharina Mülling, Jan Peters

AISTATS 2011 Relative Entropy Inverse Reinforcement Learning Abdeslam Boularias, Jens Kober, Jan Peters

NeurIPS 2010 Bootstrapping Apprenticeship Learning Abdeslam Boularias, Brahim Chaib-draa

ICML 2009 Predictive Representations for Policy Gradient in POMDPs Abdeslam Boularias, Brahim Chaib-draa