def encode_percept(self, observation, reward):
""" Returns the given percept (an observation, reward part) as a list of symbols.
- `observation`: the observation part of the percept to encode.
- `reward`: the reward part of the percept to encode.
"""
# Add first the encoded reward, then the encoded observation to the list of output symbols.
symbol_list = util.encode(reward, self.environment.reward_bits())
symbol_list += util.encode(observation,
self.environment.observation_bits())
# Return the generated list.
return symbol_list
def encode_percept(self, observation, reward):
""" Returns the given percept (an observation, reward part) as a list of symbols.
- `observation`: the observation part of the percept to encode.
- `reward`: the reward part of the percept to encode.
(Called `encode_percept` in the C++ version.)
"""
# Add first the encoded reward, then the encoded observation to the list of output symbols.
symbol_list = util.encode(reward, self.environment.reward_bits())
symbol_list += util.encode(observation, self.environment.observation_bits())
# Return the generated list.
return symbol_list
def encode_action(self, action):
""" Returns the given action encoded as a list of symbols.
- `action`: the action to encode.
"""
return util.encode(action, self.environment.action_bits())
def encode_action(self, action):
""" Returns the given action encoded as a list of symbols.
- `action`: the action to encode.
(Called `encodeAction` in the C++ version.)
"""
return util.encode(action, self.environment.action_bits())
def encode_action(self, action):
""" Returns the given action encoded as a list of symbols.
- `action`: the action to encode.
(Called `encodeAction` in the C++ version.)
"""
return util.encode(action, self.environment.action_bits())
