add explore to apx runs and update results

(cherry picked from commit 3b3f0c1d)

rollout.py

@@ -8,6 +8,7 @@ import os
 import pickle
 import shelve
 from pathlib import Path
+import random
 
 import gym
 import numpy as np
@@ -47,6 +48,11 @@ load_algorithms(CUSTOM_ALGORITHMS)  # Load algorithms
 from collections.abc import Mapping
 from copy import deepcopy
 
+# Default terminal state epsilon
+# https://github.com/ray-project/ray/blob/master/rllib/agents/dqn/dqn.py
+final_epsilon =  0.02
+random.seed(1)
+
 def val_replace(mapping):
     obj = deepcopy(mapping)
     if isinstance(mapping, Mapping):
@@ -287,6 +293,7 @@ def run(args, parser):
     if args.eager:
         from tensorflow.python.framework.ops import enable_eager_execution
         enable_eager_execution()
+        config['eager'] = True
     
     cls = get_trainable_cls(args.run)
     
@@ -422,6 +429,13 @@ def rollout(agent,
                             policy_id=policy_id)
                     a_action = flatten_to_single_ndarray(a_action)  # ray 0.8.5
                     # a_action = _flatten_action(a_action)  # tuple actions # ray 0.8.4
+
+                    # Epsilon-greedy action selection for APEX
+                    if hasattr(agent, '_name'):
+                        if agent._name == "APEX":
+                            if random.random() <= final_epsilon:
+                                a_action = random.choice(np.arange(env.action_space.n))
+
                     action_dict[agent_id] = a_action
                     prev_actions[agent_id] = a_action
             action = action_dict