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Pradeep Varakantham

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

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 49% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Pradeep Varakantham?

4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Wenjun Li, Arunesh Sinha, Milind Tambe 17 papers · 2020–2025 · AAAI, ICLR, NeurIPS Hide ▲
Bootstrapping Language Models with DPO Implicit Rewards ICLR 2025 Marginal Benefit Driven RL Teacher for Unsupervised Environment Design AAAI 2025 On Generalization Across Environments In Multi-Objective Reinforcement Learning ICLR 2025 On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning ICLR 2025 Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs ICLR 2025 Unlocking the Planning Capabilities of Large Language Models with Maximum Diversity Fine-tuning NAACL 2025 Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024 Improving Environment Novelty Quantification for Effective Unsupervised Environment Design NeurIPS 2024 Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training AAAI 2024 Generalization through Diversity: Improving Unsupervised Environment Design IJCAI 2023 Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning NeurIPS 2023 Facilitating Human-Wildlife Cohabitation through Conflict Prediction AAAI 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 Neural Approximate Dynamic Programming for On-Demand Ride-Pooling AAAI 2020 Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning AAAI 2020
8 papers whose co-authors appear nowhere else under this name
Safety through feedback in Constrained RL NeurIPS 2024 Constrained Reinforcement Learning in Hard Exploration Problems AAAI 2023 Transferable Curricula through Difficulty Conditioned Generators IJCAI 2023 Efficient resource allocation with fairness constraints in restless multi-armed bandits UAI 2022 Correlated Learning for Aggregation Systems UAI 2019 Mechanism Design for Strategic Project Scheduling IJCAI 2017 Sequential Decision Making for Improving Efficiency in Urban Environments IJCAI 2016 Regret based Robust Solutions for Uncertain Markov Decision Processes NeurIPS 2013

Venues · all papers under this name

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