On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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3 results for “hypermodel”

Hypermodels for Explorationcs.LG

Hypermodels improve exploration efficiency and accuracy.

problem Efficiently approximating Thompson sampling with large ensembles.

method Introducing hypermodels as a generalization of ensembles, including linear and neural network hypermodels.

result Hypermodels enable more accurate exploration and performance gains over Thompson sampling.

exploration hypermodels epistemic uncertainty Thompson sampling information-directed sampling

2020-06-12abs ↗pdf ↗

Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgentcs.LG

HyperAgent improves RL exploration in large-scale problems.

problem Efficient exploration in large-scale reinforcement learning problems.

method Hypermodel framework for incremental posterior approximation without conjugacy.

result HyperAgent achieves logarithmic per-step computational complexity and sublinear regret.

reinforcement learning hypermodel posterior sampling large-scale exploration

2024-02-05abs ↗pdf ↗

Langevin DQNcs.LG

Langevin DQN achieves deep exploration using Gaussian noise.

problem Deep exploration in reinforcement learning.

method Developed Langevin DQN, a variation of DQN with Gaussian noise.

result Langevin DQN achieves deep exploration.

reinforcement learning deep exploration Langevin DQN Gaussian noise

2020-02-17abs ↗pdf ↗