AI Infrastructure · GitHub ·163 ★

attention_drl_trading

Attention-based Deep Reinforcement Learning framework for portfolio allocation on S&P 500 equities. Includes custom environment, policy architecture with cross-sectional attention, PPO/A2C/REINFORCE agents, training/evaluation pipeline, and fine-tuning grid search.

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Details

Author
irisx3
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
163
First indexed
2026-05-15
Last active
2025-10-16
Directory sync
2026-05-15
@irisx3

Overview

Attention-based Deep Reinforcement Learning framework for portfolio allocation on S&P 500 equities. Includes custom environment, policy architecture with cross-sectional attention, PPO/A2C/REINFORCE agents, training/evaluation pipeline, and fine-tuning grid search.

Quick start

git

git clone https://github.com/irisx3/attention_drl_trading

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What attention_drl_trading can do

frameworkfine-tun
  • Framework — framework task automation.
  • Fine Tun — fine-tun task automation.

Frequently asked questions

What is attention_drl_trading?
Attention-based Deep Reinforcement Learning framework for portfolio allocation on S&P 500 equities. Includes custom environment, policy architecture with cross-sectional attention, PPO/A2C/REINFORCE agents, training/evaluation pipeline, and fine-tuning grid search.
How do I install attention_drl_trading?
Use git: `git clone https://github.com/irisx3/attention_drl_trading`. Full setup details on the source page linked above.
Is attention_drl_trading open source?
attention_drl_trading is published on GitHub.
What are alternatives to attention_drl_trading?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for attention_drl_trading is sourced from GitHub, published by irisx3.

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