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cs.LG2026
From Static Policies to Adaptive Priors in Offline Reinforcement Learning
Tianwei Ni, Vineet Jain, Akash Karthikeyan +1
Offline reinforcement learning (RL) has traditionally focused on learning policies for direct deployment under conservative objectives, where uncertainty outside the offline datase…
cs.LG2025
DiffFP: Learning Behaviors from Scratch via Diffusion-based Fictitious Play
Akash Karthikeyan, Yash Vardhan Pant
Self-play reinforcement learning has demonstrated significant success in learning complex strategic and interactive behaviors in competitive multi-agent games. However, achieving s…
cs.LG2024
GenPlan: Generative Sequence Models as Adaptive Planners
Akash Karthikeyan, Yash Vardhan Pant
Sequence models have demonstrated remarkable success in behavioral planning by leveraging previously collected demonstrations. However, solving multi-task missions remains a signif…