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Pradeep Varakantham — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Pradeep Varakantham
15
papers ·
5
citations ·
28
h-index
Singapore Management University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Generalization through Diversity: Improving Unsupervised Environment Design
2023 · 2 citations
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
2023 · 2 citations
Regret-Based Defense in Adversarial Reinforcement Learning
2023 · 1 citations
On Generalization Across Environments In Multi-Objective Reinforcement Learning
2025
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
2019
On Solving Cooperative MARL Problems with a Few Good Experiences
2020
Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization
2022
Solving Richly Constrained Reinforcement Learning through State Augmentation and Reward Penalties
2023
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
2023
Training Reinforcement Learning Agents and Humans With Difficulty-Conditioned Generators
2023
Bootstrapping Language Models with DPO Implicit Rewards
2024
Safety through feedback in Constrained RL
2024
Offline Safe Reinforcement Learning Using Trajectory Classification
2024
Top co-authors
Arunesh Sinha
· 4
Changyu Chen
· 2
Akshat Kumar
· 1
Andrew Perrault
· 1
Chao Du
· 1
David Lo
· 1
Dexun Li
· 1
Hao Jiang
· 1
Jimmy Ho
· 1
J. J. Teoh
· 1
Milind Tambe
· 1
Min Lin
· 1
Topics
Safe RL
Multi-Agent
Model-Based RL
Exploration
Value-Based
Policy Gradient
Offline RL
Meta-RL
Game AI
RLHF & Alignment