conftrace_

state representation

62 papers

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Co-occurring keywords

reinforcement learning (4352) representation learning (6206) deep reinforcement learning (903) markov decision process (790) sample efficiency (472) state representation learning (14) latent space (854) action representation (16) offline reinforcement learning (492) contrastive learning (4032)

Papers

Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States JMLR 2022
SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning AAAI 2022
Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning AISTATS 2022
Learning Physics Constrained Dynamics Using Autoencoders NIPS 2022
Reinforcement Learning with Neural Radiance Fields NIPS 2022
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control ICML 2022
Mask-based Latent Reconstruction for Reinforcement Learning NIPS 2022
On the Generalization of Representations in Reinforcement Learning AISTATS 2022
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer ICML 2022
Toward Compositional Generalization in Object-Oriented World Modeling ICML 2022
Provable Representation Learning for Imitation with Contrastive Fourier Features NIPS 2021
Learning State Representations from Random Deep Action-conditional Predictions NIPS 2021
Language Representations for Generalization in Reinforcement Learning ACML 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? NIPS 2021
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning ICML 2021
Representation Matters: Offline Pretraining for Sequential Decision Making ICML 2021
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation AAAI 2021
Learning Markov State Abstractions for Deep Reinforcement Learning NIPS 2021
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
Compact task representations as a normative model for higher-order brain activity NIPS 2020
Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning JMLR 2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML 2020
Generalized Representation Learning Methods for Deep Reinforcement Learning IJCAI 2020
DeepMDP: Learning Continuous Latent Space Models for Representation Learning ICML 2019