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Karthik Narasimhan — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Karthik Narasimhan
20
papers ·
1049
citations ·
0
h-index
Princeton University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
ReAct: Synergizing Reasoning and Acting in Language Models
2022 · 567 citations
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
2019 · 108 citations
Projection-Based Constrained Policy Optimization
2020 · 81 citations
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
2019 · 15 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
Grounding Language for Transfer in Deep Reinforcement Learning
2017 · 5 citations
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies
2020 · 4 citations
Top co-authors
Peter J. Ramadge
· 3
Tsung-Yen Yang
· 3
Justinian Rosca
· 2
Akshara Prabhakar
· 1
Ameet Deshpande
· 1
Ashwin Kalyan
· 1
Bruno Castro da Silva
· 1
Dian Yu
· 1
Izhak Shafran
· 1
Jeffrey Zhao
· 1
John Yang
· 1
Michael Y. Hu
· 1
Topics
Model-Based RL
Meta-RL
Policy Gradient
Safe RL
RLHF & Alignment
Value-Based
Exploration
Multi-Agent