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Prithviraj Ammanabrolu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Prithviraj Ammanabrolu
17
papers ·
188
citations ·
18
h-index
University of California San Diego
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
2022 · 54 citations
Quark: Controllable Text Generation with Reinforced Unlearning
2022 · 45 citations
Graph Constrained Reinforcement Learning for Natural Language Action Spaces
2020 · 43 citations
How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents
2020 · 13 citations
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning
2018 · 12 citations
Inherently Explainable Reinforcement Learning in Natural Language
2021 · 9 citations
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling
2023 · 9 citations
Introspective X Training: Feedback Conditioning Improves Scaling Across all LLM Training Stages
2026
Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text
2026
A Practitioner's Guide to Multi-turn Agentic Reinforcement Learning
2025
Top co-authors
Yejin Choi
· 5
Ximing Lu
· 3
Brandon Cui
· 2
David Acuna
· 2
Hannaneh Hajishirzi
· 2
Hyunwoo Kim
· 2
Jack Hessel
· 2
Jaehun Jung
· 2
Alane Suhr
· 1
Di Zhang
· 1
Jan Kautz
· 1
Jian Hu
· 1
Topics
Exploration
Game AI
cs.AI
Policy Gradient
RLHF & Alignment
cs.LG
cs.CL
Value-Based
Safe RL
Model-Based RL