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state representation

79 papers

Papers

Learning Associative Inference Using Fast Weight Memory ICLR 2021 Learning Markov State Abstractions for Deep Reinforcement Learning NeurIPS 2021 Learning State Representations from Random Deep Action-conditional Predictions NeurIPS 2021 Provable Representation Learning for Imitation with Contrastive Fourier Features NeurIPS 2021 Representation Matters: Offline Pretraining for Sequential Decision Making ICML 2021 Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning ICML 2021 Which Mutual-Information Representation Learning Objectives are Sufficient for Control? NeurIPS 2021 Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML 2020 Compact task representations as a normative model for higher-order brain activity NeurIPS 2020 Generalized Representation Learning Methods for Deep Reinforcement Learning IJCAI 2020 On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract) IJCAI 2020 Plan2Vec: Unsupervised Representation Learning by Latent Plans L4DC 2020 Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning JMLR 2020 DeepMDP: Learning Continuous Latent Space Models for Representation Learning ICML 2019 Imitation Learning from Video by Leveraging Proprioception IJCAI 2019 Learning value functions with relational state representations for guiding task-and-motion planning CoRL 2019 Regret Bounds for Learning State Representations in Reinforcement Learning NeurIPS 2019 Temporal Difference Variational Auto-Encoder ICLR 2019 Unsupervised State Representation Learning in Atari NeurIPS 2019 Eigenoption Discovery through the Deep Successor Representation ICLR 2018 Learning and Communicating the Latent States of Human-Machine Collaboration IJCAI 2018 Neural Episodic Control ICML 2017 Supervised Learning for Dynamical System Learning NeurIPS 2015 Universal Value Function Approximators ICML 2015 Competing with an Infinite Set of Models in Reinforcement Learning AISTATS 2013