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Chen Tessler — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Chen Tessler
12
papers ·
471
citations ·
11
h-index
Google Scholar ↗
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Most-cited papers
Reward Constrained Policy Optimization
2018 · 235 citations
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
2016 · 142 citations
Action Robust Reinforcement Learning and Applications in Continuous Control
2019 · 66 citations
Distributional Policy Optimization: An Alternative Approach for Continuous Control
2019 · 15 citations
Reward Tweaking: Maximizing the Total Reward While Planning for Short Horizons
2020 · 5 citations
Language is Power: Representing States Using Natural Language in Reinforcement Learning
2019 · 4 citations
Gradient Boosting Reinforcement Learning
2024 · 1 citations
Ensemble Bootstrapping for Q-Learning
2021 · 1 citations
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
2022 · 1 citations
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning
2019
Reinforcement Learning for Datacenter Congestion Control
2021
Top co-authors
Shie Mannor
· 9
Benjamin Fuhrer
· 3
Gal Dalal
· 3
Guy Tennenholtz
· 3
Daniel J. Mankowitz
· 2
Gal Chechik
· 2
Nadav Merlis
· 2
Amit Mandelbaum
· 1
Doron Haritan Kazakov
· 1
Eitan Zahavi
· 1
Erez Schwartz
· 1
Oren Peer
· 1
Topics
Value-Based
Policy Gradient
Safe RL
Model-Based RL
Game AI
Meta-RL
Offline RL
Exploration