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Nikolay Atanasov — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Nikolay Atanasov
20
papers ·
48
citations ·
27
h-index
University of California San Diego
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning
2021 · 3 citations
Coding for Distributed Multi-Agent Reinforcement Learning
2021 · 3 citations
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
2024 · 3 citations
Learning Navigation Costs from Demonstration with Semantic Observations
2020 · 2 citations
Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions
2025
WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata
2021
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation
2022
Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories
2022
Distributionally Robust Policy and Lyapunov-Certificate Learning
2024
Top co-authors
Baoqian Wang
· 2
Junfei Xie
· 2
Kehan Long
· 2
Tianyu Wang
· 2
Vikas Dhiman
· 2
Arash Asgharivaskasi
· 1
Carlos Sagüés
· 1
Eduardo Montijano
· 1
Eduardo Sebastián
· 1
Jorge Cort\'es
· 1
Jörge E. Cortes
· 1
Pengzhi Yang
· 1
Topics
Model-Based RL
Safe RL
Policy Gradient
Multi-Agent
Value-Based
Offline RL
Exploration