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08/29/2023
Adapting Text-based Dialogue State Tracker for Spoken Dialogues
Although there have been remarkable advances in dialogue systems through...
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10/24/2022
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
We consider local kernel metric learning for off-policy evaluation (OPE)...
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06/12/2022
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
Inductive transfer learning aims to learn from a small amount of trainin...
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04/19/2022
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
We consider the offline constrained reinforcement learning (RL) problem,...
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02/28/2022
LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation
We consider the problem of imitation from observation (IfO), in which th...
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12/07/2021
Augment Valuate : A Data Enhancement Pipeline for Data-Centric AI
Data scarcity and noise are important issues in industrial applications ...
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09/08/2021
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System
Knowledge Distillation (KD), which transfers the knowledge of a well-tra...
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06/21/2021
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
We consider the offline reinforcement learning (RL) setting where the ag...
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12/08/2020
Variational Interaction Information Maximization for Cross-domain Disentanglement
Cross-domain disentanglement is the problem of learning representations ...
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10/09/2019
Policy Optimization Through Approximated Importance Sampling
Recent policy optimization approaches (Schulman et al., 2015a, 2017) hav...
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12/21/2015
Information-Theoretic Bounded Rationality
Bounded rationality, that is, decision-making and planning under resourc...
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08/07/2014
Learning to Cooperate via Policy Search
Cooperative games are those in which both agents share the same payoff s...
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01/23/2013
Learning Finite-State Controllers for Partially Observable Environments
Reactive (memoryless) policies are sufficient in completely observable M...
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01/23/2013
Solving POMDPs by Searching the Space of Finite Policies
Solving partially observable Markov decision processes (POMDPs) is highl...
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02/14/2012
