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''' AgentClass.py: Class for a basic RL Agent '''
# Python imports.
from collections import defaultdict
class Agent(object):
''' Abstract Agent class. '''
def __init__(self, name, actions, gamma=0.99):
self.name = name
self.actions = list(actions) # Just in case we're given a numpy array (like from Atari).
self.gamma = gamma
self.episode_number = 0
self.prev_state = None
self.prev_action = None
def get_parameters(self):
'''
Returns:
(dict) key=param_name (str) --> val=param_val (object).
'''
return {}
def act(self, state, reward):
'''
Args:
state (State): see StateClass.py
reward (float): the reward associated with arriving in state @state.
Returns:
(str): action.
'''
pass
def policy(self, state):
return self.act(state, 0)
def reset(self):
'''
Summary:
Resets the agent back to its tabula rasa config.
'''
self.prev_state = None
self.prev_action = None
self.step_number = 0
def end_of_episode(self):
'''
Summary:
Resets the agents prior pointers.
'''
self.prev_state = None
self.prev_action = None
self.episode_number += 1
def set_name(self, name):
self.name = name
def get_name(self):
return self.name
def __str__(self):
return str(self.name)
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