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Nathan Lambert — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Nathan Lambert
16
papers ·
103
citations ·
13
h-index
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Most-cited papers
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
2021 · 33 citations
Objective Mismatch in Model-based Reinforcement Learning
2020 · 21 citations
The Challenges of Exploration for Offline Reinforcement Learning
2022 · 8 citations
RewardBench: Evaluating Reward Models for Language Modeling
2024 · 5 citations
Investigating Compounding Prediction Errors in Learned Dynamics Models
2022 · 4 citations
Reinforcement Learning from Human Feedback
2025 · 3 citations
Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems
2022 · 3 citations
The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback
2023 · 3 citations
2 OLMo 2 Furious
2025 · 2 citations
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning
2023 · 2 citations
Meta-Reinforcement Learning with Self-Reflection for Agentic Search
2026
Spurious Rewards: Rethinking Training Signals in RLVR
2025
Top co-authors
Roberto Calandra
· 5
Hannaneh Hajishirzi
· 3
Faeze Brahman
· 2
Hamish Ivison
· 2
Jacob Morrison
· 2
Luke Zettlemoyer
· 2
Noah A. Smith
· 2
Nouha Dziri
· 2
Pang Wei Koh
· 2
Pradeep Dasigi
· 2
Tom Zick
· 2
Valentina Pyatkin
· 2
Topics
Model-Based RL
RLHF & Alignment
Exploration
Multi-Agent
Safe RL
cs.CL
cs.PL
Meta-RL
Policy Gradient
Offline RL