mirror of
https://github.com/Farama-Foundation/Gymnasium.git
synced 2025-08-28 17:27:08 +00:00
4c460ba6c8
* add dtype to Box
* remove board_game, debugging, safety, parameter_tuning environments
* massive set of breaking changes
- remove python logging module
- _step, _reset, _seed, _close => non underscored method
- remove benchmark and scoring folder
* Improve render("human"), now resizable, closable window.
* get rid of default step and reset in wrappers, so it doesn’t silently fail for people with underscore methods
* CubeCrash unit test environment
* followup fixes
* MemorizeDigits unit test envrionment
* refactored spaces a bit
fixed indentation
disabled test_env_semantics
* fix unit tests
* fixes
* CubeCrash, MemorizeDigits tested
* gym backwards compatibility patch
* gym backwards compatibility, followup fixes
* changelist, add spaces to main namespaces
* undo_logger_setup for backwards compat
* remove configuration.py
81 lines
2.4 KiB
Python
81 lines
2.4 KiB
Python
#!/usr/bin/env python
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from __future__ import print_function
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import sys, gym, time
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#
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# Test yourself as a learning agent! Pass environment name as a command-line argument, for example:
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#
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# python keyboard_agent.py SpaceInvadersNoFrameskip-v4
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#
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env = gym.make('LunarLander-v2' if len(sys.argv)<2 else sys.argv[1])
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if not hasattr(env.action_space, 'n'):
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raise Exception('Keyboard agent only supports discrete action spaces')
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ACTIONS = env.action_space.n
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SKIP_CONTROL = 0 # Use previous control decision SKIP_CONTROL times, that's how you
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# can test what skip is still usable.
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human_agent_action = 0
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human_wants_restart = False
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human_sets_pause = False
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def key_press(key, mod):
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global human_agent_action, human_wants_restart, human_sets_pause
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if key==0xff0d: human_wants_restart = True
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if key==32: human_sets_pause = not human_sets_pause
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a = int( key - ord('0') )
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if a <= 0 or a >= ACTIONS: return
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human_agent_action = a
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def key_release(key, mod):
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global human_agent_action
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a = int( key - ord('0') )
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if a <= 0 or a >= ACTIONS: return
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if human_agent_action == a:
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human_agent_action = 0
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env.render()
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env.unwrapped.viewer.window.on_key_press = key_press
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env.unwrapped.viewer.window.on_key_release = key_release
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def rollout(env):
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global human_agent_action, human_wants_restart, human_sets_pause
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human_wants_restart = False
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obser = env.reset()
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skip = 0
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total_reward = 0
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total_timesteps = 0
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while 1:
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if not skip:
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#print("taking action {}".format(human_agent_action))
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a = human_agent_action
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total_timesteps += 1
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skip = SKIP_CONTROL
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else:
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skip -= 1
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obser, r, done, info = env.step(a)
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if r != 0:
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print("reward %0.3f" % r)
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total_reward += r
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window_still_open = env.render()
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if window_still_open==False: return False
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if done: break
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if human_wants_restart: break
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while human_sets_pause:
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env.render()
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time.sleep(0.1)
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time.sleep(0.1)
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print("timesteps %i reward %0.2f" % (total_timesteps, total_reward))
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print("ACTIONS={}".format(ACTIONS))
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print("Press keys 1 2 3 ... to take actions 1 2 3 ...")
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print("No keys pressed is taking action 0")
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while 1:
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window_still_open = rollout(env)
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if window_still_open==False: break
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