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8e812ef82f
* CoachInterface + tutorial * Some improvements and typo fixes * merge tutorial 0 and 4 * typo fix + additional tutorial changes * tutorial changes * added reading signals and experiment path argument
A custom environment implementation should look like this:
from coach.filters.input_filter import InputFilter
class CustomFilter(InputFilter):
def __init__(self):
...
def _filter(self, env_response: EnvResponse) -> EnvResponse:
...
def _get_filtered_observation_space(self, input_observation_space: ObservationSpace) -> ObservationSpace:
...
def _get_filtered_reward_space(self, input_reward_space: RewardSpace) -> RewardSpace:
...
def _validate_input_observation_space(self, input_observation_space: ObservationSpace):
...
def _reset(self):
...