Arvind Easwaran

7 papers at tracked venues · 3 at CORE A* · active 2024–2026

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Venues

AAAI ×2 AAMAS ×2 ECAI ×2 ICML ×1

Frequent coauthors

Mohit Prashant

×3

Blaise Genest

×2

Arambam James Singh

×2

Michael Yuhas

×2

Xiaotao Liu

×1

Xiang Fang

×1

Xinwei Gao

×1

Gangadhar Royyuru

×1

Suman Das

×1

Subrat Prasad Panda

×1

Ponnuthurai Nagaratnam Suganthan

×1

Papers

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
Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection
ICML 2025 ·
Xiang Fang
, Arvind Easwaran,
Blaise Genest
CRLLK: Constrained Reinforcement Learning for Lane Keeping in Autonomous Driving
AAMAS 2025 ·
Xinwei Gao
,
Arambam James Singh
,
Gangadhar Royyuru
,
Michael Yuhas
, Arvind Easwaran
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation
AAAI 2025 ·
Mohit Prashant
, Arvind Easwaran,
Suman Das
,
Michael Yuhas
Improving Reinforcement Learning Sample-Efficiency Using Local Approximation
ECAI 2025 ·
Mohit Prashant
, Arvind Easwaran
PAS: Probably Approximate Safety Verification of Reinforcement Learning Policy Using Scenario Optimization
AAMAS 2024 ·
Arambam James Singh
, Arvind Easwaran
Vanilla Gradient Descent for Oblique Decision Trees
ECAI 2024 ·
Subrat Prasad Panda
,
Blaise Genest
, Arvind Easwaran,
Ponnuthurai Nagaratnam Suganthan