Inverse reinforcement learning from failure
<em>Inverse reinforcement learning</em> (IRL) allows autonomous agents to learn to solve complex tasks from successful demonstrations. However, in many settings, e.g., when a human learns the task by trial and error, <em>failed</em> demonstrations are also readily available....
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International Foundation for Autonomous Agents and Multiagent Systems
2016
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