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Pratap Tokekar — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Pratap Tokekar
25
papers ·
11
citations ·
25
h-index
University of Maryland, College Park
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
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
Stable and Efficient Single-Rollout RL for Multimodal Reasoning
2025
Dual-Uncertainty Guided Policy Learning for Multimodal Reasoning
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
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies
2022
Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information
2022
Enhancing Multi-Agent Coordination through Common Operating Picture Integration
2023
PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement Learning
2024
IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition
2024
Top co-authors
Souradip Chakraborty
· 5
Alec Koppel
· 4
Amrit Singh Bedi
· 4
Peihong Yu
· 4
Amisha Bhaskar
· 3
Dinesh Manocha
· 3
Furong Huang
· 3
Joshua McClellan
· 2
Zahiruddin Mahammad
· 2
Amrish Baskaran
· 1
Amrit Bedi
· 1
Anas Barakat
· 1
Topics
Model-Based RL
Exploration
Policy Gradient
Multi-Agent
Safe RL
Game AI
RLHF & Alignment
Meta-RL
Value-Based