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Abhinav Verma — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Abhinav Verma
10
papers ·
166
citations ·
9
h-index
Pennsylvania State University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Programmatically Interpretable Reinforcement Learning
2018 · 98 citations
Control Regularization for Reduced Variance Reinforcement Learning
2019 · 39 citations
Neurosymbolic Reinforcement Learning with Formally Verified Exploration
2020 · 14 citations
Imitation-Projected Programmatic Reinforcement Learning
2019 · 8 citations
Eventual Discounting Temporal Logic Counterfactual Experience Replay
2023 · 1 citations
Scaling Strategy, Not Compute: A Stand-Alone, Open-Source StarCraft II Benchmark for Accessible Reinforcement Learning Research
2026
Preference Conditioned Multi-Objective Reinforcement Learning: Decomposed, Diversity-Driven Policy Optimization
2026
Automating the Refinement of Reinforcement Learning Specifications
2025
LTL-Constrained Policy Optimization with Cycle Experience Replay
2024
Top co-authors
Swarat Chaudhuri
· 5
Yisong Yue
· 3
Cameron Voloshin
· 2
Jonathan Dodge
· 2
Shreyash Kale
· 2
Sourav Panda
· 2
Ameesh Shah
· 1
Chenxi Yang
· 1
\DJ}or{\dj}e \v{Z}ikeli\'c
· 1
Gabor Orosz
· 1
Greg Anderson
· 1
Hoang M. Le
· 1
Topics
Safe RL
Policy Gradient
Exploration
Game AI
Model-Based RL
Value-Based
Multi-Agent
Meta-RL
Offline RL