Challenges of real-world reinforcement learning
blog.acolyer.org
2 threads
Reinforcement learning without simulation is not feasible for complex problems.
If you can’t simulate, stick to multi-armed bandits.
anyone know a good survey paper about current SOA? i've read sutton&barton, skimmed openai "Spinning Up in Deep RL". anything else out there?
The Deep RL Bootcamp lectures are still good and relevant:
beggars can't be choosers of course but i would prefer something to read rather than something to watch