Q-values
PulseAugur coverage of Q-values — every cluster mentioning Q-values across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New framework models multi-agent Q-learning with environmental feedback
Researchers have developed a new framework using evolutionary computation to model multi-agent Q-learning within complex environmental feedback loops. This model simulates how individual agent learning, local interactio…
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Research explores identifiability of transition kernels in discounted MDPs
This paper investigates what aspects of a Markov decision process (MDP) can be identified solely from optimal actions, rather than direct observation of transition probabilities or Q-values. The research focuses on the …
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New AdamO optimizer enhances stability and performance in offline RL
Researchers have introduced AdamO, a novel optimizer designed to enhance stability in offline reinforcement learning. This new optimizer addresses the issue of 'collapse,' where errors in temporal-difference updates can…