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Prashant Doshi — most-cited papers & profile · Reinforcement Learning
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Prashant Doshi
15
papers ·
16
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics
2017 · 5 citations
Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards
2020 · 3 citations
Latent Interactive A2C for Improved RL in Open Many-Agent Systems
2023 · 3 citations
A Framework and Method for Online Inverse Reinforcement Learning
2018 · 1 citations
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress
2018 · 1 citations
Recurrent Sum-Product-Max Networks for Decision Making in Perfectly-Observed Environments
2020 · 1 citations
Many Agent Reinforcement Learning Under Partial Observability
2021 · 1 citations
A Hierarchical Bayesian model for Inverse RL in Partially-Controlled Environments
2021 · 1 citations
Inversely Learning Transferable Rewards via Abstracted States
2025
SIPOMDPLite-Net: Lightweight, Self-Interested Learning and Planning in POSGs with Sparse Interactions
2022
A Novel Variational Lower Bound for Inverse Reinforcement Learning
2023
MVSA-Net: Multi-View State-Action Recognition for Robust and Deployable Trajectory Generation
2023
Visual IRL for Human-Like Robotic Manipulation
2024
Top co-authors
Bikramjit Banerjee
· 4
Keyang He
· 3
Ehsan Asali
· 2
Yikang Gui
· 2
Danil Prokhorov
· 1
Gengyu Zhang
· 1
Hari Teja Tatavarti
· 1
Jin Sun
· 1
Kenneth Bogert
· 1
Layton Hayes
· 1
Saurabh Arora
· 1
Tomoki Nishi
· 1
Topics
Model-Based RL
Multi-Agent
Policy Gradient
Value-Based
Offline RL
Exploration
Meta-RL
Game AI