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ActivelyIdentifyingCausalEffectswithLatent VariablesGivenOnlyResponseVariableObservable
Thistask is challenging because the causal graph is unknown and even there may exist latent confounders.
67496dfa96afddab795530cc7c69b57a-Supplemental-Conference.pdf
Theoptimalbaseline, however, israrelyusedinpractice (Sutton & Barto (2018); foran exception, see (Peters & Schaal, 2008)). Equation (1) thentakesthefollowingform: r E R(x)= E (R(x) B)r log (x).
On Reinforcement Learningand Distribution Matchingfor Fine-Tuning Language Models withno Catastrophic Forgetting
Twoofthemcanbecharacterizedas "Reward Maximization" (RM): Standard Policy Gradients (PG) and KL-control.
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning Y ang
Recall (higher is better): the ratio of selected ID instances to the total number of ID instances.
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning Y ang
Recall (higher is better): the ratio of selected ID instances to the total number of ID instances.