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Simon Stepputtis — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Simon Stepputtis
21
papers ·
100
citations ·
12
h-index
Virginia Tech
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
2023 · 7 citations
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient
2019 · 4 citations
Explainable Action Advising for Multi-Agent Reinforcement Learning
2022 · 3 citations
Concept Learning for Interpretable Multi-Agent Reinforcement Learning
2023 · 2 citations
Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning
2025 · 1 citations
Multi-Agent Transfer Learning via Temporal Contrastive Learning
2024 · 1 citations
Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models
2024 · 1 citations
SCALAR: Learning and Composing Skills through LLM Guided Symbolic Planning and Deep RL Grounding
2026
Overcoming Valid Action Suppression in Unmasked Policy Gradient Algorithms
2026
Theory of Mind Guided Strategy Adaptation for Zero-Shot Coordination
2026
Introspective Action Advising for Interpretable Transfer Learning
2023
Top co-authors
Joseph Campbell
· 7
Katia Sycara
· 7
Behdad Chalaki
· 2
Dana Hughes
· 2
Ehsan Moradi Pari
· 2
Muhan Lin
· 2
Renos Zabounidis
· 2
Shuyang Shi
· 2
Vaishnav Tadiparthi
· 2
Woojun Kim
· 2
Woojun Kim
· 2
Yue Guo
· 2
Topics
Multi-Agent
RLHF & Alignment
Game AI
Exploration
Meta-RL
Model-Based RL
Policy Gradient
Safe RL