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← Authors

Pradeep Varakantham

35 papers · 2013–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (6)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (150) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (34) πŸ”₯ Unstoppable (7) ⚑ Prolific Year (5)

Conferences

AAAI (13) IJCAI (9) NIPS (5) ICLR (4) UAI (3) NAACL (1)

Top co-authors

Wenjun Li (6) Arunesh Sinha (6) Milind Tambe (4) Tien Mai (3) Changyu CHEN (3) Hao Jiang (3) Dexun Li (3) Huy Hoang (3) Aparna Taneja (2) Yuxiao Lu (2)

Keywords

reinforcement learning (6) curriculum learning (4) cost constraint (3) restless multi-armed bandit (3) unsupervised environment design (3) constraint satisfaction (3) safe reinforcement learning (3) sample efficiency (2) deep reinforcement learning (2) regret minimization (2) resource allocation (2) inverse reinforcement learning (2) constrained reinforcement learning (2) environment design (2) combinatorial optimization (2) policy learning (2) constrained optimization (2) hierarchical reinforcement learning (2) markov decision process (2) conditional value at risk (2)

Papers

Optimizing Ride-Pooling Operations with Extended Pickup and Drop-Off Flexibility AAAI 2026 Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs ICLR 2025 Offline Safe Reinforcement Learning Using Trajectory Classification AAAI 2025 Marginal Benefit Driven RL Teacher for Unsupervised Environment Design AAAI 2025 On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning ICLR 2025 Bootstrapping Language Models with DPO Implicit Rewards ICLR 2025 On Generalization Across Environments In Multi-Objective Reinforcement Learning ICLR 2025 Unlocking the Planning Capabilities of Large Language Models with Maximum Diversity Fine-tuning NAACL 2025 Improving Environment Novelty Quantification for Effective Unsupervised Environment Design NIPS 2024 Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training AAAI 2024 Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively AAAI 2024 Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024 Safety through feedback in Constrained RL NIPS 2024 SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning NIPS 2024 Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning AAAI 2024 Transferable Curricula through Difficulty Conditioned Generators IJCAI 2023 Constrained Reinforcement Learning in Hard Exploration Problems AAAI 2023 Future Aware Pricing and Matching for Sustainable On-Demand Ride Pooling AAAI 2023 Generalization through Diversity: Improving Unsupervised Environment Design IJCAI 2023 Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning NIPS 2023 Facilitating Human-Wildlife Cohabitation through Conflict Prediction AAAI 2022 Efficient resource allocation with fairness constraints in restless multi-armed bandits UAI 2022 Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health AAAI 2022 CLAIM: curriculum learning policy for influence maximization in unknown social networks UAI 2021 Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare IJCAI 2021 Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning AAAI 2020 Neural Approximate Dynamic Programming for On-Demand Ride-Pooling AAAI 2020 Correlated Learning for Aggregation Systems UAI 2019 Mechanism Design for Strategic Project Scheduling IJCAI 2017 Proactive and Reactive Coordination of Non-dedicated Agent Teams Operating in Uncertain Environments IJCAI 2017 Scalable Greedy Algorithms for Task/Resource Constrained Multi-Agent Stochastic Planning IJCAI 2016 Sequential Decision Making for Improving Efficiency in Urban Environments IJCAI 2016 Robust Repositioning to Counter Unpredictable Demand in Bike Sharing Systems IJCAI 2016 Probabilistic Inference Based Message-Passing for Resource Constrained DCOPs IJCAI 2015 Regret based Robust Solutions for Uncertain Markov Decision Processes NIPS 2013