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Vladlen Koltun — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Vladlen Koltun
24
papers ·
1623
citations ·
93
h-index
Intel (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Assessing Generalization in Deep Reinforcement Learning
2018 · 116 citations
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
2021 · 25 citations
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning
2020 · 16 citations
Motion Perception in Reinforcement Learning with Dynamic Objects
2019 · 10 citations
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning
2018 · 8 citations
Efficient Differentiable Simulation of Articulated Bodies
2021 · 6 citations
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
2021 · 4 citations
Large Batch Simulation for Deep Reinforcement Learning
2021 · 3 citations
Reinforcement Learning for Long-Horizon Interactive LLM Agents
2025 · 2 citations
Top co-authors
Aleksei Petrenko
· 4
Erik Wijmans
· 3
Alexey Dosovitskiy
· 2
Artemij Amiranashvili
· 2
Brennan Shacklett
· 2
Dhruv Batra
· 2
Manolis Savva
· 2
Philipp Kr\"ahenb\"uhl
· 2
Thomas Brox
· 2
Aaron Gokaslan
· 1
Alex Clegg
· 1
and Ming C. Lin
· 1
Topics
Model-Based RL
Exploration
Policy Gradient
Value-Based
Multi-Agent
Game AI
RLHF & Alignment
Meta-RL
Safe RL