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Maxim Likhachev — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Maxim Likhachev
36
papers ·
132
citations ·
45
h-index
Carnegie Mellon University
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Semantic Scholar ↗
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Most-cited papers
Driving in Dense Traffic with Model-Free Reinforcement Learning
2019 · 101 citations
Conflict-Based Search as a Protocol: A Multi-Agent Motion Planning Protocol for Heterogeneous Agents, Solvers, and Independent Tasks
2025
Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPF
2024
RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation
2024
Top co-authors
Jiaoyang Li
· 2
Rishi Veerapaneni
· 2
Alireza Nakhaei
· 1
Alvin Tang
· 1
Arthur Jakobsson
· 1
Devesh K. Jha
· 1
Dhruv Mauria Saxena
· 1
Diego Romeres
· 1
Gabriel Olin
· 1
Haodong He
· 1
Jon Arrizabalaga
· 1
Kevin Ren
· 1
Topics
Model-Based RL
Multi-Agent
Safe RL
cs.MA
cs.RO
Policy Gradient
Meta-RL