I replaced environment 'OfflineCarCircle-v0' with environment 'SafetyWalker2dVelocity-v1' in dsrl/test.py,
import gymnasium as gymimport dsrl# set seedseed = 0# Create the environmentenv = gym.make('SafetyWalker2dVelocity-v1')# dsrl abides by the OpenAI gym interface# obs, info = env.reset(seed=seed)# obs, reward, terminal, timeout, info = env.step(env.action_space.sample())# cost = info["cost"]# Each task is associated with a dataset# dataset contains observations, next_observatiosn, actions, rewards, costs, terminals, timeoutsdataset = env.get_dataset()print(dataset['observations']) # An N x obs_dim Numpy array of observations
and the code error is as follows:
I replaced environment 'OfflineCarCircle-v0' with environment 'SafetyWalker2dVelocity-v1' in dsrl/test.py,
import gymnasium as gym
import dsrl
# set seed
seed = 0
# Create the environment
env = gym.make('SafetyWalker2dVelocity-v1')
# dsrl abides by the OpenAI gym interface
# obs, info = env.reset(seed=seed)
# obs, reward, terminal, timeout, info = env.step(env.action_space.sample())
# cost = info["cost"]
# Each task is associated with a dataset
# dataset contains observations, next_observatiosn, actions, rewards, costs, terminals, timeouts
dataset = env.get_dataset()
print(dataset['observations']) # An N x obs_dim Numpy array of observations
and the code error is as follows: