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.

168,932 papers · 148 categories

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3 results for “reward-clipping”

Deep Reinforcement Learning for Asset Allocation: Reward Clippingq-fin.CP

Paper compares RL models for finance, finding Reward Clipping best.

problem Optimizing asset allocation in finance.

method Actor-only, actor-critic, and PPO models compared; Reward Clipping introduced.

result Reward Clipping model outperforms others in bull and bear markets.

reinforcement learning asset allocation finance portfolio optimization actor-critic

2023-01-02abs ↗pdf ↗

GAN-powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicingcs.LG

Paper proposes GAN-DDQN for efficient resource allocation in network slicing.

problem Efficient resource allocation in network slicing with varying service demands.

method Leverage deep reinforcement learning with GAN-DDQN to minimize SSR and SE discrepancies.

result Proposed GAN-DDQN and Dueling GAN-DDQN algorithms improve resource allocation efficiency.

network slicing deep reinforcement learning GAN-DDQN resource allocation reward-clipping

2019-05-10abs ↗pdf ↗

Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimizationcs.LG

A new framework reduces traffic congestion by 36%.

problem Efficient traffic signal control in a metropolitan area.

method Two-stage framework combining Evolution Strategies and multi-agent reinforcement learning.

result Reduces traffic congestion by 36%.

reinforcement learning traffic signal control metropolitan area waiting time reduction batch augmentation

2020-05-19abs ↗pdf ↗