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Mohit Prashant

3 papers at tracked venues · 2 at CORE A* · active 2025–2026

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Venues

AAAI ×2ECAI ×1

Frequent coauthors

Arvind Easwaran
×3
Xiaotao Liu
×1
Suman Das
×1
Michael Yuhas
×1

Papers

  1. CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract)
    AAAI 2026 ·
    Xiaotao Liu
    , Mohit Prashant,
    Arvind Easwaran
  2. Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation
    AAAI 2025 · Mohit Prashant,
    Arvind Easwaran
    ,
    Suman Das
    ,
    Michael Yuhas
  3. Improving Reinforcement Learning Sample-Efficiency Using Local Approximation
    ECAI 2025 · Mohit Prashant,
    Arvind Easwaran