RL in Large Discrete Action Spaces - Wolpertinger Agent (#394)

* Currently this is specific to the case of discretizing a continuous action space. Can easily be adapted to other case by feeding the kNN otherwise, and removing the usage of a discretizing output action filter

docs/genindex.html

@@ -206,6 +206,7 @@
  | <a href="#T"><strong>T</strong></a>
  | <a href="#U"><strong>U</strong></a>
  | <a href="#V"><strong>V</strong></a>
+ | <a href="#W"><strong>W</strong></a>
  
 </div>
 <h2 id="A">A</h2>
@@ -956,6 +957,14 @@
   </ul></td>
 </tr></table>
 
+<h2 id="W">W</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="components/agents/policy_optimization/wolpertinger.html#rl_coach.agents.wolpertinger_agent.WolpertingerAlgorithmParameters">WolpertingerAlgorithmParameters (class in rl_coach.agents.wolpertinger_agent)</a>
+</li>
+  </ul></td>
+</tr></table>
+
 
 
            </div>