Adversarial Imitation Learning
PulseAugur coverage of Adversarial Imitation Learning — every cluster mentioning Adversarial Imitation Learning across labs, papers, and developer communities, ranked by signal.
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New research advances AI alignment and sample efficiency in imitation learning
Researchers have developed new methods to improve the alignment of artificial intelligence agents with human values. One approach, Feedback Manipulation Regularization (FMR), uses evaluative feedback as a corrective sig…
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New research advances adversarial imitation learning theory and practice
Two new papers explore the theoretical underpinnings of adversarial imitation learning (AIL), a technique that uses neural networks to learn from expert demonstrations. The first paper introduces OPT-AIL, a framework de…
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New OPT-AIL framework advances adversarial imitation learning theory
Researchers have developed a new framework called OPT-AIL for adversarial imitation learning that bridges the gap between theoretical analysis and practical application. This approach utilizes general function approxima…