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Caiming Xiong — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Caiming Xiong
105
papers ·
4726
citations ·
69
h-index
Salesforce (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
2017 · 788 citations
Multi-Hop Knowledge Graph Reasoning with Reward Shaping
2018 · 379 citations
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning
2017 · 58 citations
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
2019 · 21 citations
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
2021 · 16 citations
On the Generalization Gap in Reparameterizable Reinforcement Learning
2019 · 14 citations
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
2021 · 11 citations
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
2019 · 10 citations
Competitive Experience Replay
2019 · 3 citations
Causal-aware Safe Policy Improvement for Task-oriented dialogue
2021 · 3 citations
RLHF Workflow: From Reward Modeling to Online RLHF
2024 · 3 citations
Policy Optimization for Markov Games: Unified Framework and Faster Convergence
2022 · 2 citations
Lower Bounds for Learning in Revealing POMDPs
2023 · 1 citations
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight
2023 · 1 citations
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
2025
Top co-authors
Richard Socher
· 6
Silvio Savarese
· 6
Huan Wang
· 4
Huan Wang
· 4
Stephan Zheng
· 4
Shelby Heinecke
· 3
Shirley Kokane
· 3
Weiran Yao
· 3
Yu Bai
· 3
Zuxin Liu
· 3
Akshara Prabhakar
· 2
Alexander Trott
· 2
Topics
Model-Based RL
Multi-Agent
Policy Gradient
Exploration
Meta-RL
RLHF & Alignment
Game AI
Value-Based
Offline RL
Safe RL