Challenges of Real-World Reinforcement Learning

29 Apr 2019Gabriel Dulac-ArnoldDaniel MankowitzTodd Hester

Reinforcement learning (RL) has proven its worth in a series of artificial domains, and is beginning to show some successes in real-world scenarios. However, much of the research advances in RL are often hard to leverage in real-world systems due to a series of assumptions that are rarely satisfied in practice... (read more)

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