Towards Model-based Reinforcement Learning for Industry-near Environments

27 Jul 2019Per-Arne AndersenMorten GoodwinOle-Christoffer Granmo

Deep reinforcement learning has over the past few years shown great potential in learning near-optimal control in complex simulated environments with little visible information. Rainbow (Q-Learning) and PPO (Policy Optimisation) have shown outstanding performance in a variety of tasks, including Atari 2600, MuJoCo, and Roboschool test suite... (read more)

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