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Reward classifier and training (#528)
Co-authored-by: Daniel Ritchie <daniel@brainwavecollective.ai> Co-authored-by: resolver101757 <kelster101757@hotmail.com> Co-authored-by: Jannik Grothusen <56967823+J4nn1K@users.noreply.github.com> Co-authored-by: Remi <re.cadene@gmail.com> Co-authored-by: Michel Aractingi <michel.aractingi@huggingface.co>
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@@ -128,14 +128,22 @@ def predict_action(observation, policy, device, use_amp):
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return action
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def init_keyboard_listener():
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# Allow to exit early while recording an episode or resetting the environment,
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# by tapping the right arrow key '->'. This might require a sudo permission
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# to allow your terminal to monitor keyboard events.
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def init_keyboard_listener(assign_rewards=False):
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"""
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Initializes a keyboard listener to enable early termination of an episode
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or environment reset by pressing the right arrow key ('->'). This may require
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sudo permissions to allow the terminal to monitor keyboard events.
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Args:
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assign_rewards (bool): If True, allows annotating the collected trajectory
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with a binary reward at the end of the episode to indicate success.
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"""
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events = {}
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events["exit_early"] = False
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events["rerecord_episode"] = False
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events["stop_recording"] = False
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if assign_rewards:
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events["next.reward"] = 0
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if is_headless():
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logging.warning(
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@@ -160,6 +168,13 @@ def init_keyboard_listener():
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print("Escape key pressed. Stopping data recording...")
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events["stop_recording"] = True
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events["exit_early"] = True
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elif assign_rewards and key == keyboard.Key.space:
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events["next.reward"] = 1 if events["next.reward"] == 0 else 0
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print(
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"Space key pressed. Assigning new reward to the subsequent frames. New reward:",
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events["next.reward"],
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)
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except Exception as e:
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print(f"Error handling key press: {e}")
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