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Guy Tennenholtz — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Guy Tennenholtz
23
papers ·
33
citations ·
7
h-index
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Most-cited papers
Distributional Policy Optimization: An Alternative Approach for Continuous Control
2019 · 15 citations
The Natural Language of Actions
2019 · 8 citations
Language is Power: Representing States Using Natural Language in Reinforcement Learning
2019 · 4 citations
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
2023 · 2 citations
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning
2021 · 1 citations
Action Redundancy in Reinforcement Learning
2021 · 1 citations
Representation-Driven Reinforcement Learning
2023 · 1 citations
Diffusion Controller: Framework, Algorithms and Parameterization
2026
Spectral Bellman Method: Unifying Representation and Exploration in RL
2025
Preference Adaptive and Sequential Text-to-Image Generation
2024
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning
2019
Maximum Entropy Reinforcement Learning with Mixture Policies
2021
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning
2021
Reinforcement Learning with a Terminator
2022
Reinforcement Learning with History-Dependent Dynamic Contexts
2023
Top co-authors
Shie Mannor
· 11
Chen Tessler
· 3
Craig Boutilier
· 3
Nadav Merlis
· 3
Ofir Nabati
· 3
Lior Shani
· 2
Nir Baram
· 2
Uri Shalit
· 2
Yinlam Chow
· 2
Aliz\'ee Pace
· 1
and Gal Dalal
· 1
Anthony Liang
· 1
Topics
Model-Based RL
Value-Based
Exploration
Policy Gradient
Game AI
Offline RL
RLHF & Alignment
Multi-Agent
Safe RL
Meta-RL