Co-occurring keywords · papers mentioning both
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