Arunesh Sinha

8 papers at tracked venues · 5 at CORE A* · active 2024–2025

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Venues

ICLR ×3 AAMAS ×2 AAAI ×1 IJCAI ×1 S&P ×1

Frequent coauthors

Pradeep Varakantham

×5

Changyu Chen

×2

Yuxiao Lu

×2

Zichen Liu

×1

Chao Du

×1

Tianyu Pang

×1

Qian Liu

×1

Min Lin

×1

Zichang Ge

×1

Roman Belaire

×1

Francesco Amigoni

×1

Chen Gong

×1

Papers

Bootstrapping Language Models with DPO Implicit Rewards
ICLR 2025 ·
Changyu Chen
,
Zichen Liu
,
Chao Du
,
Tianyu Pang
,
Qian Liu
, Arunesh Sinha,
Pradeep Varakantham
,
Min Lin
On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression
AAMAS 2025 ·
Zichang Ge
,
Changyu Chen
, Arunesh Sinha,
Pradeep Varakantham
On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning
ICLR 2025 ·
Roman Belaire
, Arunesh Sinha,
Pradeep Varakantham
Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs
ICLR 2025 ·
Yuxiao Lu
, Arunesh Sinha,
Pradeep Varakantham
Autonomous Agents and Multiagent Systems. Best and Visionary Papers - AAMAS 2023 Workshops, London, UK, May 29 - June 2, 2023, Revised Selected Papers
AAMAS 2024 ·
Francesco Amigoni
, Arunesh Sinha
Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets
S&P 2024 ·
Chen Gong
,
Zhou Yang
,
Yunpeng Bai
,
Junda He
,
Jieke Shi
,
Kecen Li
, Arunesh Sinha,
Bowen Xu
,
Xinwen Hou
,
David Lo
,
Tianhao Wang
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
AAAI 2024 ·
Yuxiao Lu
, Arunesh Sinha,
Pradeep Varakantham
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary
IJCAI 2024 ·
Tien Mai
,
Avinandan Bose
, Arunesh Sinha,
Thanh Hong Nguyen
,
Ayushman Kumar Singh