Update Time: 2019-01-27 15:42:07
Learn You Some Reinforcement Learning
Here I will list everything that is helpful with a short note while implementing the reinforcement learning package Ju.jl in Julia.
A very comprehensive introduction. The most useful chapter to me is Benchmarking Deep RL.
Because we will do a lot of experiments in the Atari environment, it’s better to read this paper first to avoid some potential pitfalls.
- Human-level control through deep reinforcement learning
- Playing Atari with Deep Reinforcement Learning
- Deep Reinforcement Learning with Double Q-learning
- Prioritized Experience Replay
A good start point. Although some implementations are not that efficient, this repo provides many code snippets that are easy to understand.
I only finished the first volume. The latest edition has covered a lot of recent research results. It’s a good supplementary of Reinforcement Learning: An Introduction.
Create Time: 2019-01-20 13:44:45