1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Bridging State and History Representations: Understanding Self-Predictive RL
Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi +4
Representations are at the core of all deep reinforcement learning (RL) methods for both Markov decision processes (MDPs) and partially observable Markov decision processes (POMDPs…
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…