mirror of
https://github.com/Farama-Foundation/Gymnasium.git
synced 2025-08-06 07:51:43 +00:00
aff7a643cc
* Doom - Added reward_threshold and timestep_limit for all environments * Doom - Returning all available game variables * Doom - Moved _seed to doom_env to avoid repetition in every environment * Doom - Added ALT_ATTACK and made all action_space equivalent (same controls between environments). * Doom - Actions can either be a short list of allowed actions or the full list of 41 commands * Doom - Returning black observation space on error or is_finished, rather than empty list (which was triggering an error) * Doom - HighLow.sample() returns the small list. * Doom - Updated difficulty for some missions * Doom - Fixed inconsistency between controls.md and deathmatch.cfg * Doom - Issue #168 - Remove sleep statement from DoomEnv render * Doom - Only using full action space (43 keys) - Added 'normal', 'fast' and 'human' mode - Set non-deterministic to True - Set video.frames_per_second to 35 - Properly returning game variables * Replaced warnings.warn by logger.warn * Doom - Added NUM_ACTIONS and action_idx instead of x * Doom - Added NUM_ACTIONS and action_idx instead of x * Doom - reset() only calls game.new_episode() after first call * Doom is now deterministic * Doom - Partial fix for issue #167 - DoomDeathmatch environment crashes sporadically * Doom - Standardized envs, simplified _reset * Doom - Removed temporary fix for issue #167 * Doom - Added scoreboard summary and description
29 lines
750 B
Python
29 lines
750 B
Python
import numpy as np
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import gym, time
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from gym.spaces import prng
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class Discrete(gym.Space):
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"""
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{0,1,...,n-1}
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Example usage:
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self.observation_space = spaces.Discrete(2)
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"""
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def __init__(self, n):
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self.n = n
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def sample(self):
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return prng.np_random.randint(self.n)
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def contains(self, x):
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if isinstance(x, int):
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as_int = x
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elif isinstance(x, (np.generic, np.ndarray)) and (x.dtype.kind in np.typecodes['AllInteger'] and x.shape == ()):
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as_int = int(x)
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else:
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return False
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return as_int >= 0 and as_int < self.n
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def __repr__(self):
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return "Discrete(%d)" % self.n
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def __eq__(self, other):
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return self.n == other.n
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