From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following

ICLR 2019 Justin FuAnoop KorattikaraSergey LevineSergio Guadarrama

Reinforcement learning is a promising framework for solving control problems, but its use in practical situations is hampered by the fact that reward functions are often difficult to engineer. Specifying goals and tasks for autonomous machines, such as robots, is a significant challenge: conventionally, reward functions and goal states have been used to communicate objectives... (read more)

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