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Found 5 papers, 0 papers with code
Kepler: Robust Learning for Faster Parametric Query Optimization
We propose Kepler, an end-to-end learning-based approach to PQO that demonstrates significant speedups in query latency over a traditional query optimizer.
Barkour: Benchmarking Animal-level Agility with Quadruped Robots
In the second approach, we distill the specialist skills into a Transformer-based generalist locomotion policy, named Locomotion-Transformer, that can handle various terrains and adjust the robot's gait based on the perceived environment and robot states.
No-Regret Reinforcement Learning with Heavy-Tailed Rewards
We consider such scenarios in the setting of undiscounted reinforcement learning.
Stagewise Safe Bayesian Optimization with Gaussian Processes
We provide theoretical guarantees for both the satisfaction of safety constraints as well as convergence to the optimal utility value.
Multi-dueling Bandits with Dependent Arms
The dueling bandits problem is an online learning framework for learning from pairwise preference feedback, and is particularly well-suited for modeling settings that elicit subjective or implicit human feedback.
