From 3453d9dead7a130d78cf2af8310c7f1085761a32 Mon Sep 17 00:00:00 2001 From: you-n-g Date: Wed, 28 Jun 2023 10:49:51 +0800 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 010bba138..539700a91 100644 --- a/README.md +++ b/README.md @@ -399,7 +399,7 @@ Qlib now supports reinforcement learning, a feature designed to model continuous Here is a list of solutions built on `Qlib` categorized by scenarios. ### [RL for order execution](examples/rl_order_execution) -[Here](https://qlib.readthedocs.io/en/latest/component/rl/overall.html#order-execution) is the introduction of this scenario +[Here](https://qlib.readthedocs.io/en/latest/component/rl/overall.html#order-execution) is the introduction of this scenario. All the methods below are compared [here](examples/rl_order_execution). - [TWAP](examples/rl_order_execution/exp_configs/backtest_twap.yml) - [PPO: "An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization", IJCAL 2020](examples/rl_order_execution/exp_configs/backtest_ppo.yml) - [OPDS: "Universal Trading for Order Execution with Oracle Policy Distillation", AAAI 2021](examples/rl_order_execution/exp_configs/backtest_opds.yml)