Pinned

1. rl-book-challenge

   self-studying the Sutton & Barto the hard way

   Python 117 19

2. spinning-up-a-Pong-AI-with-deep-RL

   Code for "Spinning Up a Pong AI With Deep RL" on FloydHub.

   Jupyter Notebook 53 14

3. two-step-task

   Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforcement Learn".

   Jupyter Notebook 31 7

4. meta_rl

   The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

   Python 33 3

5. gym-alttp-gridworld

   A gym environment for Stuart Armstrong's model of a treacherous turn.

   JavaScript 14

6. quantilizers

   Code from "How useful is quantilization for mitigating specification-gaming?"

   Python 2