17 citations · 23 across the 8 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023
Approximate information state based convergence analysis of recurrent Q-learning
Erfan Seyedsalehi, Nima Akbarzadeh, Amit Sinha +1
In spite of the large literature on reinforcement learning (RL) algorithms for partially observable Markov decision processes (POMDPs), a complete theoretical understanding is stil…
cs.LG2023★ 5 cited
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning
Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha +4
Decentralized cooperative multi-agent deep reinforcement learning (MARL) can be a versatile learning framework, particularly in scenarios where centralized training is either not p…