line 235,inmake5returnregistry.make(id, **kwargs)6File"Z:\Anaconda3\envs\my_env\lib\site-packages\gym\envs\registration.py", line 129,inmake7env = spec.make(**kwargs
env.reset()assertenv._max_episode_seconds == wrappers.time_limit.DEFAULT_MAX_EPISODE_SECONDSassertenv._max_episode_steps ==None 开发者ID:openai,项目名称:universe,代码行数:19,代码来源:test_time_limit.py 示例5: get_gym_stats ▲点赞 6▼ # 需要导入模块: import gym [as 别名]# 或者: from ...
_repr__(self): return "EnvSpec({})".format(self.id) @property def timestep_limit(self): logger.warn("DEPRECATION WARNING: env.spec.timestep_limit has been deprecated. Replace your call to `env.spec.timestep_limit` with `env.spec.tags.get('wrapper_config.TimeLimit.max_episode_steps')...
env_2 = env_spec.make(disable_env_checker=True) initial_obs_1 = env_1.reset(seed=SEED) initial_obs_2 = env_2.reset(seed=SEED) assert_equals(initial_obs_1, initial_obs_2) env_1.action_space.seed(SEED) for time_step in range(NUM_STEPS): # We don't evaluate the determinism of...
env.seed(int(this_seed)) if max_episode_steps is not None: env = TimeLimit(env, max_episode_steps) elif spec.max_episode_steps is not None: env = TimeLimit(env, max_episode_steps=spec.max_episode_steps) # Use Monitor to record statistics needed for Baselines algorithms logging # Optio...
'MaxStepsPerEpisode',300,... 'Plots','training-progress',... 'StopTrainingCriteria','AverageReward',... 'StopTrainingValue',5000,... 'ScoreAveragingWindowLength',30,... 'SaveAgentCriteria',"EpisodeReward",... 'SaveAgentValue',2500); trainOpts.UseP...
如果你在使用TensorFlow时遇到了"AttributeError: module 'tensorflow' has no attribute 'placeholder'"的...
max_episode_steps=500, ) except Exception as e: print("failed to import dddfb env") print(str(e)) FBEnv = None solismortis commented Jun 8, 2023 • edited I went far trying to use my custom env. I am stuck here after running python train.py --algo a2c --env GridWorld-v0 ...
The episode truncates at 200 time steps. ### Arguments - `g`: acceleration of gravity measured in *(m s-2)* used to calculate the pendulum dynamics. The default value is g = 10.0 . ``` gym.make('Pendulum-v1', g=9.81) ``` ### Version History * v1: Simplify the math equatio...
master .github bin gym envs box2d classic_control mujoco toy_text __init__.py registration.py spaces utils vector wrappers __init__.py core.py error.py logger.py py.typed version.py tests .gitignore .pre-commit-config.yaml CODE_OF_CONDUCT.rst ...