Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Methods/Accumulating Eligibility Trace

Accumulating Eligibility Trace

Reinforcement LearningIntroduced 200015 papers

Description

An Accumulating Eligibility Trace is a type of eligibility trace where the trace increments in an accumulative way. For the memory vector $\textbf{e}\_{t} \in \mathbb{R}^{b} \geq \textbf{0}$ :

$\mathbf{e\_{0}} = \textbf{0}$

$\textbf{e}\_{t} = \nabla{\hat{v}}\left(S\_{t}, \mathbf{\theta}\_{t}\right) + \gamma\lambda\textbf{e}\_{t}$

Papers Using This Method

On-line Policy Improvement using Monte-Carlo Search2025-01-09 Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming2024-06-02 Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach2023-12-19 A Robust and Opponent-Aware League Training Method for StarCraft II2023-09-21 AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning2023-08-07 On Efficient Reinforcement Learning for Full-length Game of StarCraft II2022-09-23 AI in Human-computer Gaming: Techniques, Challenges and Opportunities2021-11-15 Search in Imperfect Information Games2021-11-10 Rethinking of AlphaStar2021-08-07 An Introduction of mini-AlphaStar2021-04-14 Deep Reinforcement Learning with Function Properties in Mean Reversion Strategies2021-01-09 TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game2020-11-27 Forensic Similarity for Digital Images2019-02-13 AlphaStar: An Evolutionary Computation Perspective2019-02-05 A Hierarchical Reinforcement Learning Method for Persistent Time-Sensitive Tasks2016-06-20