celeste/README.md

@@ -1,37 +1,15 @@
 # Celeste-AI: A Celeste Classic DQL Agent
 
-This is an attempt to create a deep Q-learning agent that learns to play Celeste Classic.
+This is an attempt to create an agent that learns to play Celeste Classic.
-
-
 
 ## Contents
- - `./resources`: contains files this script requires. Notably, we have an (old) version of PICO-8 that's known to work with this script, and a version of Celeste Classic with telementery and delays called `hackcel.p8`.
+ - `./resources`: contain files these scripts require. Notably, we have an (old) version of PICO-8 that's known to work with this script, and a version of Celeste Classic with telementery and delays called `hackcel.p8`.
- - `ffmpeg.sh`: uses game screenshots to make real-time video of the agent's attempts. Read the script, it's pretty simple.
- - `plot.py`: generates plots from model snapshots. These are placed in `model_data/current/plots/`.
 
 
 ## Setup
 
-Before you set up Celeste-AI, you need to prepare PICO-8. See [`resources/README.md`](./resources/README.md)
-
-
-
 This is designed to work on Linux. You will need `xdotool` to send keypresses to the game.
 
 1. `cd` into this directory
 2. Make and enter a venv
 3. `pip install -e .`
-
-Once you're set up, you can...
- - `python celeste_ai/train.py` to train a model
- -  `python plot.py` to make prediction plots
- - `python test.py` to test a model
-
-
-**Before running, be aware of the following:**
- - Only one instance of PICO-8 can be running at a time. See `celeste.py`.
- - `hackcel.p8` captures a screenshot of every frame. PICO-8 will probably place these on your desktop. Since this repo contains a rather old version of PICO-8, there is no way to change where it places screenshots. `train.py` will delete, move, and rename screenshots automatically during training, but you should tell it where your desktop is first.
- - When you start training, a `model_data` directory will be created. It contains the following:
-   - `model_archive`: history of the model. Save interval is configured inside `train.py`
-   - `screenshots`: contains subdirectories. Each subdirectory contains the frames of one episode. Use `ffmpeg.sh` to turn these into a video.
-   - `plots`: generated by `plot.py`. Contains pretty plots.

celeste/celeste_ai/util/screenshots.py

@@ -52,7 +52,6 @@ class ScreenshotManager:
 					continue
 			number += 1
 
-			target = self.target / str(number)
 		else:
 			target = self.target / str(number)
 

celeste/resources/README.md

@@ -1,21 +0,0 @@
-# Celeste-AI resources
-
- - `./carts/celeste.p8`: Unmodified *Celeste Classic* cart
- - `./carts/hackcel.p8`: *Celeste Classic* modified with delays and debug
- - `./pico8`: An old version of PICO-8
- - `./images`: Miscellaneous images for pretty plots. Not used by scripts yet.
-
-
-## PICO-8 setup
-1. Run `./pico-8/linux/pico8`
-2. Once it starts, type `folder`. This will open the PICO-8 root folder in your file browser.
-3. Copy both carts in `./carts` into that folder.
-
-## PICO-8 basics
- - `load name.p8`: load a game into memory
- - `run`: run that game
- - `folder`: open PICO-8 root in file browser
- - `shutdown`: exit PICO-8
- - `<escape key>`: toggle editor or exit a game.
-
-That's all you need to know to train Celeste-AI.

celeste/resources/carts/hackcel.p8

@@ -38,7 +38,7 @@ k_dash=5
 --	- screenshots at every frame
 --	- frame skipping
 --	- waiting for input
-hack_human_mode = false
+hack_human_mode = true
 
 -- If true, disable screensake
 hack_no_shake = true