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f40b58508e
Author | SHA1 | Date |
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Mark | f40b58508e | |
Mark | dc8f0ace68 |
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@ -28,6 +28,9 @@ class CelesteState(NamedTuple):
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# Number of deaths since game start
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deaths: int
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# If an index is true, we got a strawberry on that stage.
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berries: list[bool]
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# Distance to next point
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dist: float
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@ -223,6 +226,7 @@ class Celeste:
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xvel = float(self._internal_state["vx"]),
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yvel = float(self._internal_state["vy"]),
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deaths = int(self._internal_state["dc"]),
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berries = [x == "t" for x in self._internal_state["fr"][1:]],
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dist = self._dist,
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next_point = self._next_checkpoint_idx,
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@ -15,6 +15,10 @@ if __name__ == "__main__":
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# Where to read/write model data.
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model_data_root = Path("model_data/current")
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# Where PICO-8 saves screenshots.
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# Probably your desktop.
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screenshot_source = Path("/home/mark/Desktop")
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model_save_path = model_data_root / "model.torch"
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model_archive_dir = model_data_root / "model_archive"
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model_train_log = model_data_root / "train_log"
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@ -25,7 +29,7 @@ if __name__ == "__main__":
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# Remove old screenshots
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shots = Path("/home/mark/Desktop").glob("hackcel_*.png")
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shots = screenshot_source.glob("hackcel_*.png")
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for s in shots:
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s.unlink()
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@ -280,8 +284,6 @@ def optimize_model():
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def on_state_before(celeste):
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global steps_done
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# Conversion to pytorch
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state = celeste.state
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pt_state = torch.tensor(
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@ -347,7 +349,7 @@ def on_state_after(celeste, before_out):
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pt_next_state = None
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reward = 0
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# Reward for finishing stage
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# Reward for finishing a stage
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elif next_state.stage >= 1:
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finished_stage = True
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reward = next_state.next_point - state.next_point
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@ -370,6 +372,7 @@ def on_state_after(celeste, before_out):
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if state.next_point == next_state.next_point:
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reward = 0
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else:
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print(f"Got point {state.next_point}")
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# Reward for reaching a point
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reward = next_state.next_point - state.next_point
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@ -377,6 +380,14 @@ def on_state_after(celeste, before_out):
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for i in range(state.next_point, state.next_point + reward):
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point_counter[i] += 1
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# Strawberry reward
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if next_state.berries[state.stage] and not state.berries[state.stage]:
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print(f"Got stage {state.stage} bonus")
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reward += 1
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reward = reward * 10
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pt_reward = torch.tensor([reward], device = compute_device)
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@ -446,7 +457,7 @@ def on_state_after(celeste, before_out):
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# Clean up screenshots
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shots = Path("/home/mark/Desktop").glob("hackcel_*.png")
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shots = screenshot_source.glob("hackcel_*.png")
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target = screenshot_dir / Path(f"{episode_number}")
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target.mkdir(parents = True)
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@ -1275,12 +1275,26 @@ function _update()
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hack_has_sent_first_message = true
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out_string = "dc:" .. tostr(deaths) .. ";"
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-- Dash status
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if hack_can_dash then
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out_string = out_string .. "ds:t;"
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else
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out_string = out_string .. "ds:f;"
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end
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-- Fruit status
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out_string = out_string .. "fr:"
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for i = 0,29 do
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if got_fruit[i] then
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out_string = out_string .. "t"
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else
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out_string = out_string .. "f"
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end
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end
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out_string = out_string .. ";"
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for k, v in pairs(hack_player_state) do
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out_string = out_string .. k ..":" .. v .. ";"
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end
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