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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.

168,657 papers · 148 categories

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2 results for “ESAC”

Maximum Mutation Reinforcement Learning for Scalable Controlcs.LG

ESAC combines genetic methods with RL to improve scalability and efficiency.

problem Combining genetic scalability with RL's data efficiency and optimal control.

method Combines Evolution Strategies (ES) with Soft Actor-Critic (SAC) to enable skill transfer and reduce hyperparameter sensitivity.

result Demonstrates improved performance and sample efficiency in challenging tasks.

Reinforcement Learning Evolution Strategies Soft Actor-Critic Scalability Sample Efficiency

2020-07-24abs ↗pdf ↗

Reinforcement Learning Architectures: SAC, TAC, and ESACcs.LG

ESAC improves reinforcement learning by lookahead and intuition.

problem Designing efficient reinforcement learning architectures for intelligent agents.

method Integrates selector, tuner, model-learner, estimator, and lookahead into ESAC.

result ESAC outperforms other architectures in optimizing policies.

reinforcement learning actor-critic lookahead intuition ESAC

2020-04-05abs ↗pdf ↗