From 3c9cd8fb5710eca8513453375a45fefcf703e8ef Mon Sep 17 00:00:00 2001 From: Ikechukwu Uchendu Date: Sun, 28 Jul 2024 12:53:59 -0400 Subject: [PATCH] Pointing to actual notebook files in README --- README.md | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 3e1e599..c95eb32 100644 --- a/README.md +++ b/README.md @@ -9,14 +9,17 @@ the benchmark platform. A2Perf provides benchmark environments in the following domains: -* [Web Navigation](docs/content/web_navigation/index.md) - This environment facilitates the +* [Web Navigation](docs/content/web_navigation/WebNavigation-Difficulty-01-v0.ipynb) - + This environment facilitates the creation of compositional tasks represented by dependency graphs, where automatically generated websites are completed by the trained agent. -* [Quadruped Locomotion](docs/content/quadruped_locomotion/index.md) - This quadruped +* [Quadruped Locomotion](docs/content/quadruped_locomotion/QuadrupedLocomotion-DogPace-v0.ipynb) - + This quadruped locomotion environment aims to teach a legged robot with 18 degrees of freedom to replicate animal-like behaviors by imitating real-world motion data to develop a diverse repertoire of skills. -* [Circuit Training](docs/content/circuit_training/index.md) - Chip floorplanning, a +* [Circuit Training](docs/content/circuit_training/CircuitTraining-Ariane-v0.ipynb) - + Chip floorplanning, a complex and traditionally manual process, has been addressed by Google's open-source Circuit Training framework, which uses reinforcement learning to optimize chip layouts for multiple objectives. @@ -113,7 +116,10 @@ described [here](docs/content/tutorials/training.ipynb). ## Gin Configuration Files -Under [`a2perf/submission/configs`](https://github.com/Farama-Foundation/A2Perf/tree/main/a2perf/submission/configs), there are default gin configuration files for training and inference for each domain. These files define various settings and hyperparameters for benchmarking. +Under [`a2perf/submission/configs`](https://github.com/Farama-Foundation/A2Perf/tree/main/a2perf/submission/configs), +there are default gin configuration files for training and inference for each +domain. These files define various settings and hyperparameters for +benchmarking. Here's an example of an `inference.gin` file for web navigation: