PPaperPicks

Pradeep Varakantham

21 papers at tracked venues · 15 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-7342-5745 ↗

Venues

AAAI ×7AAMAS ×4ICLR ×4NeurIPS ×4ECAI ×1NAACL ×1

Frequent coauthors

Arunesh Sinha
×5
Wenjun Li
×5
Huy Hoang
×4
Tien Mai
×4
Changyu Chen
×3
Jayden Teoh Jing Teoh
×3
Hao Jiang
×2
Dexun Li
×2
Roman Belaire
×2
Yuxiao Lu
×2
Shashank Reddy Chirra
×2
Praveen Paruchuri
×2

Papers

  1. Optimizing Ride-Pooling Operations with Extended Pickup and Drop-Off Flexibility
    AAAI 2026 ·
    Hao Jiang
    ,
    Yixin Xu
    , Pradeep Varakantham
  2. 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
  3. EduQate: Generating Adaptive Curricula through RMABs in Education Settings
    AAMAS 2025 ·
    Sidney Tio
    ,
    Dexun Li
    , Pradeep Varakantham
  4. Marginal Benefit Driven RL Teacher for Unsupervised Environment Design
    AAAI 2025 ·
    Dexun Li
    ,
    Wenjun Li
    , Pradeep Varakantham
  5. No Experts, No Problem: Avoidance Learning from Bad Demonstrations
    NeurIPS 2025 ·
    Huy Hoang
    ,
    Tien Mai
    , Pradeep Varakantham
  6. Offline Safe Reinforcement Learning Using Trajectory Classification
    AAAI 2025 ·
    Ze Gong
    ,
    Akshat Kumar
    , Pradeep Varakantham
  7. On Generalization Across Environments In Multi-Objective Reinforcement Learning
    ICLR 2025 ·
    Jayden Teoh
    , Pradeep Varakantham,
    Peter Vamplew
  8. On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression
    AAMAS 2025 ·
    Zichang Ge
    ,
    Changyu Chen
    ,
    Arunesh Sinha
    , Pradeep Varakantham
  9. On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning
    ICLR 2025 ·
    Roman Belaire
    ,
    Arunesh Sinha
    , Pradeep Varakantham
  10. Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs
    ICLR 2025 ·
    Yuxiao Lu
    ,
    Arunesh Sinha
    , Pradeep Varakantham
  11. Unlocking the Planning Capabilities of Large Language Models with Maximum Diversity Fine-tuning
    NAACL 2025 ·
    Wenjun Li
    ,
    Changyu Chen
    , Pradeep Varakantham
  12. Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
    AAAI 2024 ·
    Yuxiao Lu
    ,
    Arunesh Sinha
    , Pradeep Varakantham
  13. Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
    AAAI 2024 ·
    Huy Hoang
    ,
    Tien Mai
    , Pradeep Varakantham
  14. Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
    NeurIPS 2024 ·
    Jayden Teoh
    ,
    Wenjun Li
    , Pradeep Varakantham
  15. Preserving the Privacy of Reward Functions in MDPs through Deception
    ECAI 2024 ·
    Shashank Reddy Chirra
    , Pradeep Varakantham,
    Praveen Paruchuri
  16. Regret-based Defense in Adversarial Reinforcement Learning
    AAMAS 2024 ·
    Roman Belaire
    , Pradeep Varakantham,
    Thanh Hong Nguyen
    ,
    David Lo
  17. Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively
    AAAI 2024 ·
    Hao Jiang
    ,
    Tien Mai
    , Pradeep Varakantham,
    Huy Hoang
  18. SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
    NeurIPS 2024 ·
    Huy Hoang
    ,
    Tien Mai
    , Pradeep Varakantham
  19. Safety through feedback in Constrained RL
    NeurIPS 2024 ·
    Shashank Reddy Chirra
    , Pradeep Varakantham,
    Praveen Paruchuri
  20. Unifying Regret and State-Action Space Coverage for Effective Unsupervised Environment Design
    AAMAS 2024 ·
    Jayden Teoh Jing Teoh
    ,
    Wenjun Li
    , Pradeep Varakantham
  21. Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training
    AAAI 2024 ·
    Wenjun Li
    , Pradeep Varakantham