Likhachev, Maxim

22 publications

IJCAI 2025 Attractor-Based Closed List Search: Sparsifying the Closed List for Efficient Memory-Constrained Planning Alvin Zou, Muhammad Suhail Saleem, Maxim Likhachev
ICLR 2025 Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul, Itamar Mishani, Shivam Vats, Jiaoyang Li, Maxim Likhachev
CoRL 2025 Planning from Point Clouds over Continuous Actions for Multi-Object Rearrangement Kallol Saha, Amber Li, Angela Rodriguez-Izquierdo, Lifan Yu, Ben Eisner, Maxim Likhachev, David Held
AAAI 2025 Windowed MAPF with Completeness Guarantees Rishi Veerapaneni, Muhammad Suhail Saleem, Jiaoyang Li, Maxim Likhachev
AAAI 2023 Effective Integration of Weighted Cost-to-Go and Conflict Heuristic Within Suboptimal CBS Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev
L4DC 2022 On the Effectiveness of Iterative Learning Control Anirudh Vemula, Wen Sun, Maxim Likhachev, J. Andrew Bagnell
AAAI 2021 CMAX++ : Leveraging Experience in Planning and Execution Using Inaccurate Models Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev
IJCAI 2018 Online, Interactive User Guidance for High-Dimensional, Constrained Motion Planning Fahad Islam, Oren Salzman, Maxim Likhachev
IJCAI 2015 Efficient Search with an Ensemble of Heuristics Mike Phillips, Venkatraman Narayanan, Sandip Aine, Maxim Likhachev
AAAI 2013 Truncated Incremental Search: Faster Replanning by Exploiting Suboptimality Sandip Aine, Maxim Likhachev
AAAI 2012 Heuristic Search Comes of Age Nathan R. Sturtevant, Ariel Felner, Maxim Likhachev, Wheeler Ruml
AAAI 2012 Search-Based Path Planning with Homotopy Class Constraints in 3D Subhrajit Bhattacharya, Maxim Likhachev, Vijay Kumar
ICCV 2011 Multi-Hypothesis Motion Planning for Visual Object Tracking Haifeng Gong, Jack Sim, Maxim Likhachev, Jianbo Shi
AAAI 2011 Planning in Domains with Cost Function Dependent Actions Mike Phillips, Maxim Likhachev
IJCAI 2009 Incremental Phi*: Incremental Any-Angle Path Planning on Grids Alex Nash, Sven Koenig, Maxim Likhachev
AAAI 2008 R* Search Maxim Likhachev, Anthony Stentz
AAAI 2006 PPCP: Efficient Probabilistic Planning with Clear Preferences in Partially-Known Environments Maxim Likhachev, Anthony Stentz
ICML 2005 Bounded Real-Time Dynamic Programming: RTDP with Monotone Upper Bounds and Performance Guarantees H. Brendan McMahan, Maxim Likhachev, Geoffrey J. Gordon
NeurIPS 2004 Planning for Markov Decision Processes with Sparse Stochasticity Maxim Likhachev, Sebastian Thrun, Geoffrey J. Gordon
NeurIPS 2003 ARA*: Anytime A* with Provable Bounds on Sub-Optimality Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun
AAAI 2002 D*Lite Sven Koenig, Maxim Likhachev
NeurIPS 2002 Speeding up the Parti-Game Algorithm Maxim Likhachev, Sven Koenig