Release 0.6.4

readme/get_started.md

@@ -162,7 +162,7 @@ _(Instructions for TrackMania 2020)_
   ```shell
   python -m tmrl --record-reward
   ```
-  - If you are on Windows, press `e` to start recording _(on Linux, recording starts automatically)_
+  - Wait for the recording to start (a message will be displayed in the terminal)
   - Complete the track
 - Check that your reward and environment work correctly:
   - Execute:

readme/reference_guide.md

@@ -122,7 +122,7 @@ All parameters are described below.
     python -m tmrl --test
     ```
 
-- Record a reward function in TrackMania. In Windows, press `e` to start recording. In Linux, recording starts automatically. You should start recording at the beginning of the track. The script will compute the reward function automatically when you cross the finish line:
+- Record a reward function in TrackMania. You should start recording at the beginning of the track. The script will compute the reward function automatically when you cross the finish line:
     ```bash
     python -m tmrl --record-reward
     ```

setup.py

@@ -137,13 +137,13 @@ def url_retrieve(url: str, outfile: Path, overwrite: bool = False):
 
 setup(
     name='tmrl',
-    version='0.6.3',
+    version='0.6.4',
     description='Network-based framework for real-time robot learning',
     long_description=README,
     long_description_content_type='text/markdown',
     keywords='reinforcement learning, robot learning, trackmania, self driving, roborace',
     url='https://github.com/trackmania-rl/tmrl',
-    download_url='https://github.com/trackmania-rl/tmrl/archive/refs/tags/v0.6.3.tar.gz',
+    download_url='https://github.com/trackmania-rl/tmrl/archive/refs/tags/v0.6.4.tar.gz',
     author='Yann Bouteiller, Edouard Geze',
     author_email='[email protected], [email protected]',
     license='MIT',

tmrl/tools/record.py

@@ -13,10 +13,6 @@
 
 PATH_REWARD = cfg.REWARD_PATH
 DATASET_PATH = cfg.DATASET_PATH
-SYSTEM = cfg.SYSTEM
-
-if SYSTEM == "Windows":
-    import keyboard
 
 
 def record_reward_dist(path_reward=PATH_REWARD):
@@ -27,21 +23,13 @@ def record_reward_dist(path_reward=PATH_REWARD):
     is_recording = False
     while True:
         if not is_recording:
-            if SYSTEM == "Windows":
-                if keyboard.is_pressed('e'):
-                    logging.info(f"start recording")
-                    is_recording = True
-            else:
-                logging.info(f"start recording")
-                is_recording = True
+            logging.info(f"start recording")
+            is_recording = True
 
         if is_recording:
             data = client.retrieve_data(sleep_if_empty=0.01)  # we need many points to build a smooth curve
             terminated = bool(data[8])
-            if SYSTEM == "Windows":
-                early_stop = keyboard.is_pressed('q')
-            else:
-                early_stop = False
+            early_stop = False
             if early_stop or terminated:
                 logging.info(f"Computing reward function checkpoints from captured positions...")
                 logging.info(f"Initial number of captured positions: {len(positions)}")