Tensorflow implementation of Meta-RL A3C algorithm taken from Learning to Reinforcement Learn. For more information, as well as explainations of each of the experiments, see my corresponding Medium post. A3C is built from previous implementation available here.
Contains iPython notebooks for:
- A3C-Meta-Bandit - Set of bandit tasks described in paper. Including: Independent, Dependent, and Restless bandits.
- A3C-Meta-Context - Rainbow bandit task using randomized colors to indicate reward-giving arm in each episode.
- A3C-Meta-Grid - Rainbow Gridworld task; a variation of gridworld in which goal colors are randomzied each episode and must be learned "on the fly."