maximum entropy

Specializing Versatile Skill Libraries using Local Mixture of Experts CoRL 2021 A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs NeurIPS 2020 Data preprocessing to mitigate bias: A maximum entropy based approach ICML 2020 Explainable Data Decompositions AAAI 2020 Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots RSS 2020 GraphOpt: Learning Optimization Models of Graph Formation ICML 2020 Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness NeurIPS 2020 Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning ICLR 2020 A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019 Diversity is All You Need: Learning Skills without a Reward Function ICLR 2019 Generalized Maximum Entropy Estimation JMLR 2019 Ising Models with Latent Conditional Gaussian Variables ALT 2019 Learning to Walk Via Deep Reinforcement Learning RSS 2019 Maximum Entropy Distributions: Bit Complexity and Stability COLT 2019 Maximum Entropy Monte-Carlo Planning NeurIPS 2019 Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019 Model-Based Planning with Energy-Based Models CoRL 2019 Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data AAAI 2019 Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning CoRL 2019 Provably Efficient Maximum Entropy Exploration ICML 2019 SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies NeurIPS 2019 Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning IJCAI 2019 Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification CVPR 2019 Connectionist Temporal Classification with Maximum Entropy Regularization NeurIPS 2018 Learning Task Specifications from Demonstrations NeurIPS 2018