def _get_action_space_(self) -> D.T_agent[Space[D.T_event]]:
return EnumSpace(Action)
def _get_observation_space_(self) -> D.T_agent[Space[D.T_observation]]:
return {'player1': EnumSpace(Move), 'player2': EnumSpace(Move)}
def decode(val):
return EnumSpace(Action)
def _get_action_space_(self) -> D.T_agent[Space[D.T_event]]:
return {'player1': EnumSpace(Move), 'player2': EnumSpace(Move)}
def items(self) -> D.T_agent[D.T_concurrency[EnumSpace]]:
# Used by random walk that needs independent agent action spaces.
# It may lead to infeasible actions in which case _state_sample(...)
# returns a large cost
return [(a, EnumSpace(AgentAction)) for a in self._memory.keys()]
def _get_observation_space_(self) -> D.T_agent[Space[D.T_observation]]:
return {"player1": EnumSpace(Move), "player2": EnumSpace(Move)}
def _get_action_space_(self) -> D.T_agent[Space[D.T_event]]:
return {"player1": EnumSpace(Move), "player2": EnumSpace(Move)}
def _get_action_space_(self) -> Space[D.T_event]:
# Define action space
return EnumSpace(Action)