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The optimal policy of a reinforcement learning problem is often discontinuous and non-smooth.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams · 1992
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An alternative model for mixtures of experts
Lei Xu, Michael I Jordan, and Geoffrey E Hinton · 1995
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Maximum entropy inverse reinforcement learning
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Continuous control with deep reinforcement learning
Timothy P Lillicrap, Jonathan J Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, and Daan Wierstra · 2015
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Human-level control through deep reinforcement learning
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Sergey Levine, Chelsea Finn, Trevor Darrell, and Pieter Abbeel · 2016
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Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
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Feedback deep deterministic policy gradient with fuzzy reward for robotic multiple peg-in-hole assembly tasks
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Hierarchical reinforcement learning via advantage-weighted information maximization
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