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Karthik Narasimhan — most-cited papers & profile · Generative Models
← authors
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overview
Karthik Narasimhan
26
papers ·
1395
citations ·
30
h-index
Princeton University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
ReAct: Synergizing Reasoning and Acting in Language Models
2022 · 563 citations
Reflexion: Language Agents with Verbal Reinforcement Learning
2023 · 272 citations
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
2019 · 108 citations
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
2023 · 104 citations
Projection-Based Constrained Policy Optimization
2020 · 81 citations
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
2019 · 15 citations
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
2020 · 14 citations
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs
2024 · 10 citations
Safe Reinforcement Learning with Natural Language Constraints
2020 · 7 citations
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback
2023 · 7 citations
Leveraging Language for Accelerated Learning of Tool Manipulation
2022 · 6 citations
Grounding Language for Transfer in Deep Reinforcement Learning
2017 · 5 citations
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies
2020 · 4 citations
Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning
2026
BuilderBench: The Building Blocks of Intelligent Agents
2025
Top co-authors
Benjamin Eysenbach
· 1
Chengshuai Shi
· 1
Chi Jin
· 1
Ziran Yang
· 1
Topics
Meta-RL
Model-Based RL
Policy Gradient
Safe RL
RLHF & Alignment
Multi-Agent
Value-Based
Exploration
Evaluation
cs.LG