Search Results for author: Tejas Pagare

Found 2 papers, 0 papers with code

Explore-then-Commit Algorithms for Decentralized Two-Sided Matching Markets

no code implementations16 Aug 2024 Tejas Pagare, Avishek Ghosh

In this paper, we study a decentralized two-sided matching market, where we do not assume that the preference ranking over players are known to the arms apriori.

Collision Avoidance

Full Gradient Deep Reinforcement Learning for Average-Reward Criterion

no code implementations7 Apr 2023 Tejas Pagare, Vivek Borkar, Konstantin Avrachenkov

We extend the provably convergent Full Gradient DQN algorithm for discounted reward Markov decision processes from Avrachenkov et al. (2021) to average reward problems.

Deep Reinforcement Learning Multi-Armed Bandits +2

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