Deep Reinforcement Learning with Dynamic Optimism
We propose a novel algorithm, Dynamic Optimistic and Pessimistic Estimation (DOPE), which learns to balance optimistic and pessimistic value estimation online. DOPE frames the decision to be optimistic or pessimistic as a multi-armed bandit problem, which we show recovers optimal performance with respect to variants with fixed optimism.

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How To Tell You Need An Optimistic Isolation Level In SQL Server
When you create a database in SQL Server (everything except Azure SQL DB), you get this garbage isolation level called Read Committed. That isolation level, along with others like Repeatable Read and Serializable, are considered pessimistic. Though Repeatable Read and Serializable are less garbage, it comes with a strictness of locking that most applications don't need across the board. They ...
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