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Dinesh Manocha — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Dinesh Manocha
128
papers ·
171
citations ·
91
h-index
University of North Carolina at Chapel Hill · University of Maryland, College Park
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Most-cited papers
DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments
2022 · 12 citations
LPaintB: Learning to Paint from Self-Supervision
2019 · 4 citations
MaxMin-RLHF: Alignment with Diverse Human Preferences
2024 · 2 citations
Learning Resilient Behaviors for Navigation Under Uncertainty
2019 · 1 citations
RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments
2022 · 1 citations
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning
2023 · 1 citations
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
2023 · 1 citations
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
2023 · 1 citations
REBEL: Reward Regularization-Based Approach for Robotic Reinforcement Learning from Human Feedback
2023 · 1 citations
Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks
2026
Structured Uncertainty guided Clarification for LLM Agents
2025
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
2024
DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance
2019
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
2022
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic
2023
Top co-authors
Amrit Singh Bedi
· 9
Alec Koppel
· 7
Souradip Chakraborty
· 5
Furong Huang
· 3
Pratap Tokekar
· 3
Bhrij Patel
· 2
Jia Pan
· 2
Mengdi Wang
· 2
Xiyang Wu
· 2
Alexander Duffy
· 1
Amisha Bhaskar
· 1
Amrit Bedi
· 1
Topics
Model-Based RL
Multi-Agent
Value-Based
Policy Gradient
Safe RL
Exploration
RLHF & Alignment
cs.AI
cs.CL
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