Python gym.wrappers.FlattenDictWrapper() Examples
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code examples of gym.wrappers.FlattenDictWrapper().
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Example #1
Source File: cmd_util.py From lirpg with MIT License | 5 votes |
def make_robotics_env(env_id, seed, rank=0): """ Create a wrapped, monitored gym.Env for MuJoCo. """ set_global_seeds(seed) env = gym.make(env_id) env = FlattenDictWrapper(env, ['observation', 'desired_goal']) env = Monitor( env, logger.get_dir() and os.path.join(logger.get_dir(), str(rank)), info_keywords=('is_success',)) env.seed(seed) return env
Example #2
Source File: cmd_util.py From HardRLWithYoutube with MIT License | 5 votes |
def make_robotics_env(env_id, seed, rank=0): """ Create a wrapped, monitored gym.Env for MuJoCo. """ set_global_seeds(seed) env = gym.make(env_id) env = FlattenDictWrapper(env, ['observation', 'desired_goal']) env = Monitor( env, logger.get_dir() and os.path.join(logger.get_dir(), str(rank)), info_keywords=('is_success',)) env.seed(seed) return env
Example #3
Source File: cmd_util.py From Reinforcement_Learning_for_Traffic_Light_Control with Apache License 2.0 | 5 votes |
def make_robotics_env(env_id, seed, rank=0): """ Create a wrapped, monitored gym.Env for MuJoCo. """ set_global_seeds(seed) env = gym.make(env_id) env = FlattenDictWrapper(env, ['observation', 'desired_goal']) env = Monitor( env, logger.get_dir() and os.path.join(logger.get_dir(), str(rank)), info_keywords=('is_success',)) env.seed(seed) return env
Example #4
Source File: cmd_util.py From Reinforcement_Learning_for_Traffic_Light_Control with Apache License 2.0 | 5 votes |
def make_robotics_env(env_id, seed, rank=0): """ Create a wrapped, monitored gym.Env for MuJoCo. """ set_global_seeds(seed) env = gym.make(env_id) env = FlattenDictWrapper(env, ['observation', 'desired_goal']) env = Monitor( env, logger.get_dir() and os.path.join(logger.get_dir(), str(rank)), info_keywords=('is_success',)) env.seed(seed) return env
Example #5
Source File: cmd_util.py From Reinforcement_Learning_for_Traffic_Light_Control with Apache License 2.0 | 5 votes |
def make_robotics_env(env_id, seed, rank=0): """ Create a wrapped, monitored gym.Env for MuJoCo. """ set_global_seeds(seed) env = gym.make(env_id) env = FlattenDictWrapper(env, ['observation', 'desired_goal']) env = Monitor( env, logger.get_dir() and os.path.join(logger.get_dir(), str(rank)), info_keywords=('is_success',)) env.seed(seed) return env
Example #6
Source File: cmd_util.py From rl_graph_generation with BSD 3-Clause "New" or "Revised" License | 5 votes |
def make_robotics_env(env_id, seed, rank=0): """ Create a wrapped, monitored gym.Env for MuJoCo. """ set_global_seeds(seed) env = gym.make(env_id) env = FlattenDictWrapper(env, ['observation', 'desired_goal']) env = Monitor( env, logger.get_dir() and os.path.join(logger.get_dir(), str(rank)), info_keywords=('is_success',)) env.seed(seed) return env
Example #7
Source File: cmd_util.py From DRL_DeliveryDuel with MIT License | 5 votes |
def make_robotics_env(env_id, seed, rank=0): """ Create a wrapped, monitored gym.Env for MuJoCo. """ set_global_seeds(seed) env = gym.make(env_id) env = FlattenDictWrapper(env, ['observation', 'desired_goal']) env = Monitor( env, logger.get_dir() and os.path.join(logger.get_dir(), str(rank)), info_keywords=('is_success',)) env.seed(seed) return env
Example #8
Source File: cmd_util.py From ICML2019-TREX with MIT License | 5 votes |
def make_robotics_env(env_id, seed, rank=0): """ Create a wrapped, monitored gym.Env for MuJoCo. """ set_global_seeds(seed) env = gym.make(env_id) env = FlattenDictWrapper(env, ['observation', 'desired_goal']) env = Monitor( env, logger.get_dir() and os.path.join(logger.get_dir(), str(rank)), info_keywords=('is_success',)) env.seed(seed) return env
Example #9
Source File: cmd_util.py From ICML2019-TREX with MIT License | 5 votes |
def make_robotics_env(env_id, seed, rank=0): """ Create a wrapped, monitored gym.Env for MuJoCo. """ set_global_seeds(seed) env = gym.make(env_id) env = FlattenDictWrapper(env, ['observation', 'desired_goal']) env = Monitor( env, logger.get_dir() and os.path.join(logger.get_dir(), str(rank)), info_keywords=('is_success',)) env.seed(seed) return env
Example #10
Source File: cmd_util.py From pytorch-pommerman-rl with MIT License | 5 votes |
def make_robotics_env(env_id, seed, rank=0): """ Create a wrapped, monitored gym.Env for MuJoCo. """ set_global_seeds(seed) env = gym.make(env_id) env = FlattenDictWrapper(env, ['observation', 'desired_goal']) env = Monitor( env, logger.get_dir() and os.path.join(logger.get_dir(), str(rank)), info_keywords=('is_success',)) env.seed(seed) return env
Example #11
Source File: cmd_util.py From sonic_contest with MIT License | 5 votes |
def make_robotics_env(env_id, seed, rank=0): """ Create a wrapped, monitored gym.Env for MuJoCo. """ set_global_seeds(seed) env = gym.make(env_id) env = FlattenDictWrapper(env, ['observation', 'desired_goal']) env = Monitor( env, logger.get_dir() and os.path.join(logger.get_dir(), str(rank)), info_keywords=('is_success',)) env.seed(seed) return env
Example #12
Source File: cmd_util.py From self-imitation-learning with MIT License | 5 votes |
def make_robotics_env(env_id, seed, rank=0): """ Create a wrapped, monitored gym.Env for MuJoCo. """ set_global_seeds(seed) env = gym.make(env_id) env = FlattenDictWrapper(env, ['observation', 'desired_goal']) env = Monitor( env, logger.get_dir() and os.path.join(logger.get_dir(), str(rank)), info_keywords=('is_success',)) env.seed(seed) return env
Example #13
Source File: test_env.py From machina with MIT License | 5 votes |
def _make_flat(*args, **kargs): if "FlattenDictWrapper" in dir(): return FlattenDictWrapper(*args, **kargs) return FlattenObservation(FilterObservation(*args, **kargs))