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Amrit Singh Bedi — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Amrit Singh Bedi
55
papers ·
101
citations ·
0
h-index
University of Central Florida
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
2020 · 37 citations
DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments
2022 · 12 citations
Cautious Reinforcement Learning via Distributional Risk in the Dual Domain
2020 · 10 citations
MARL with General Utilities via Decentralized Shadow Reward Actor-Critic
2021 · 5 citations
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
2021 · 4 citations
RE-MOVE: An Adaptive Policy Design for Robotic Navigation Tasks in Dynamic Environments via Language-Based Feedback
2023 · 2 citations
MaxMin-RLHF: Alignment with Diverse Human Preferences
2024 · 2 citations
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control
2021 · 1 citations
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
2022 · 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
RL with Learnable Textual Feedback: A Bilevel Approach
2026
LANTERN: LLM-Augmented Neurosymbolic Transfer with Experience-Gated Reasoning Networks
2026
Top co-authors
Alec Koppel
· 13
Souradip Chakraborty
· 11
Dinesh Manocha
· 9
Mengdi Wang
· 5
Pratap Tokekar
· 5
Junyu Zhang
· 4
Vaneet Aggarwal
· 4
Furong Huang
· 3
Aakriti Agrawal
· 2
Amy Zhang
· 2
and Mengdi Wang
· 2
Bhrij Patel
· 2
Topics
Policy Gradient
Safe RL
Model-Based RL
Value-Based
Exploration
Multi-Agent
RLHF & Alignment
Meta-RL
cs.LG
cs.AI