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Found 3 papers, 0 papers with code
Model2Detector:Widening the Information Bottleneck for Out-of-Distribution Detection using a Handful of Gradient Steps
Our work can be employed as a post-processing method whereby an inference-time ML system can convert a trained model into an OOD detector.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL
Extending the successes in supervised learning methods to the reinforcement learning (RL) setting, however, is difficult due to the data generating process - RL agents actively query their environment for data, and the data are a function of the policy followed by the agent.
Out of Distribution (OOD) Detection
Reinforcement Learning (RL)
Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms
Humans excel at learning long-horizon tasks from demonstrations augmented with textual commentary, as evidenced by the burgeoning popularity of tutorial videos online.
