def run_baseline(config, i):
    env = gym.make('HalfCheetahBulletEnv-v0')
    state_dim = env.observation_space.shape[0]
    action_dim = env.action_space.shape[0]

    experiment = ExperimentDDPG('HalfCheetahBulletEnv-v0', env, config)

    agent = DDPGBulletAgent(state_dim, action_dim, config)
    experiment.run_baseline(agent, i)

    env.close()
Exemple #2
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def run_baseline(env_name, config, trial):
    env = create_env(env_name)
    state_dim = env.observation_space.shape
    action_dim = env.action_space.shape[0]

    experiment = ExperimentDDPG(env_name, env, config)

    agent = DDPGAerisAgent(state_dim, action_dim, config)
    experiment.run_baseline(agent, trial)

    env.close()
def run_baseline(config, i):
    env = gym.make('MountainCarContinuous-v0')
    state_dim = env.observation_space.shape[0]
    action_dim = env.action_space.shape[0]

    experiment = ExperimentDDPG('MountainCarContinuous-v0', env, config)

    agent = DDPGBulletAgent(state_dim, action_dim, config)
    experiment.run_baseline(agent, i)

    env.close()
def run_baseline(config, i):
    env = gym.make('LunarLanderContinuous-v2')
    state_dim = env.observation_space.shape[0]
    action_dim = env.action_space.shape[0]

    experiment = ExperimentDDPG('LunarLanderContinuous-v2', env, config)

    agent = DDPGAgent(state_dim, action_dim, config)
    experiment.run_baseline(agent, i)

    env.close()