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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2 results for “cycle-of-learning”

Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environmentscs.LG

Paper proposes Cycle-of-Learning framework for better reinforcement learning performance.

problem Efficiently updating policies trained with demonstrations using reinforcement learning.

method Cycle-of-Learning framework combining behavior cloning and 1-step Q-learning losses.

result Cycle-of-Learning framework improves reinforcement learning performance in dense and sparse reward scenarios.

Cycle-of-Learning Behavior Cloning Reinforcement Learning Demonstration Data Loss Functions

2019-10-09abs ↗pdf ↗

Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systemscs.LG

This research integrates human interaction into reinforcement learning to improve sample efficiency and real-time learning.

problem Current reinforcement learning requires thousands of samples to converge, and is prone to catastrophic failures.

method Integrates human interaction modalities (demonstrations, interventions, evaluations) into the reinforcement learning loop.

result Human interaction accelerates learning and improves sample efficiency.

reinforcement learning human interaction sample efficiency real-time learning cycle-of-learning

2020-08-30abs ↗pdf ↗