conftrace_

information gain

93 papers

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IG

Co-occurring keywords

bayesian optimization (624) gaussian process (1200) active learning (1301) bayesian inference (1907) reinforcement learning (4352) regret bound (1926) acquisition function (129) large language model (13587) partially observable markov decision process (178) black-box optimization (183)

Papers

Information Directed Reward Learning for Reinforcement Learning NIPS 2021
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021
Asymptotically Optimal Information-Directed Sampling COLT 2021
BKT-POMDP: Fast Action Selection for User Skill Modelling over Tasks with Multiple Skills IJCAI 2021
Estimating α-Rank by Maximizing Information Gain AAAI 2021
Improved POMDP Tree Search Planning with Prioritized Action Branching AAAI 2021
Optimal Order Simple Regret for Gaussian Process Bandits NIPS 2021
Open-domain clarification question generation without question examples EMNLP 2021
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NIPS 2021
Active Feature Acquisition with Generative Surrogate Models ICML 2021
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization ICML 2020
Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects AAAI 2020
Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains ICML 2020
Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning CVPR 2020
What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog. ACL 2019
Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps RSS 2019
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning CORL 2019
Receding Horizon Curiosity CORL 2019
Online Learning in Kernelized Markov Decision Processes AISTATS 2019
Active Embedding Search via Noisy Paired Comparisons ICML 2019
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension EMNLP 2019
Discovery of Useful Questions as Auxiliary Tasks NIPS 2019
Information-Theoretic Confidence Bounds for Reinforcement Learning NIPS 2019
Generalized Binary Search For Split-Neighborly Problems AISTATS 2018
Multi-modal Predicate Identification using Dynamically Learned Robot Controllers IJCAI 2018