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Pratap Tokekar — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Pratap Tokekar
49
papers ·
117
citations ·
25
h-index
University of Maryland, College Park
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
RE-MOVE: An Adaptive Policy Design for Robotic Navigation Tasks in Dynamic Environments via Language-Based Feedback
2023 · 2 citations
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
2024 · 2 citations
Multi-Agent Reinforcement Learning for Visibility-based Persistent Monitoring
2020 · 1 citations
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
2022 · 1 citations
REBEL: Reward Regularization-Based Approach for Robotic Reinforcement Learning from Human Feedback
2023 · 1 citations
Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings
2026
Stable and Efficient Single-Rollout RL for Multimodal Reasoning
2025
Dual-Uncertainty Guided Policy Learning for Multimodal Reasoning
2025
Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach
2025
Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches
2025
VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences
2025
PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL
2025
TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication
2025
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
2024
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
2022
Top co-authors
Souradip Chakraborty
· 7
Amisha Bhaskar
· 5
Amrit Singh Bedi
· 5
Alec Koppel
· 4
Rui Liu
· 4
Anukriti Singh
· 3
Dinesh Manocha
· 3
Furong Huang
· 3
Amrit Bedi
· 2
Chak Lam Shek
· 2
Dian Yu
· 2
Dong Yu
· 2
Topics
Model-Based RL
Exploration
Policy Gradient
Multi-Agent
Safe RL
RLHF & Alignment
Meta-RL
Game AI
cs.LG
Value-Based