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01/05/2022
Balsa: Learning a Query Optimizer Without Expert Demonstrations
Query optimizers are a performance-critical component in every database ...
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12/07/2021
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance
Safe exploration is critical for using reinforcement learning (RL) in ri...
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07/22/2021
Accelerating Quadratic Optimization with Reinforcement Learning
First-order methods for quadratic optimization such as OSQP are widely u...
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03/31/2021
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning
Corrective interventions while a robot is learning to automate a task pr...
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11/27/2020
Connecting Context-specific Adaptation in Humans to Meta-learning
Cognitive control, the ability of a system to adapt to the demands of a ...
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11/25/2020
Distributed Reinforcement Learning is a Dataflow Problem
Researchers and practitioners in the field of reinforcement learning (RL...
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10/29/2020
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
Safety remains a central obstacle preventing widespread use of RL in the...
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11/30/2019