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Added linear scheduling option to epsilon greedy exploration #66

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Added linear scheduling option to epsilon greedy exploration #66

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15 changes: 11 additions & 4 deletions rlkit/exploration_strategies/epsilon_greedy.py
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Original file line number Diff line number Diff line change
@@ -1,17 +1,24 @@
import random

from rlkit.exploration_strategies.base import RawExplorationStrategy
from rlkit.util.ml_util import LinearSchedule


class EpsilonGreedy(RawExplorationStrategy):
"""
Take a random discrete action with some probability.
"""
def __init__(self, action_space, prob_random_action=0.1):
self.prob_random_action = prob_random_action
def __init__(self, action_space, prob_random_action=0.1, prob_end=None, steps=1e6):
"""
If prob_end is None, this will default to a fixed schedule.
"""
if prob_end is not None:
self.prob_random_action = LinearSchedule(prob_random_action, prob_end, steps)
else:
self.prob_random_action = LinearSchedule(prob_random_action, prob_random_action, steps)
self.action_space = action_space

def get_action_from_raw_action(self, action, **kwargs):
if random.random() <= self.prob_random_action:
def get_action_from_raw_action(self, action,t=0 **kwargs):
if random.random() <= self.prob_random_action.get_value(t):
return self.action_space.sample()
return action