temporal abstraction

Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020 Sub-policy Adaptation for Hierarchical Reinforcement Learning ICLR 2020 Thinking While Moving: Deep Reinforcement Learning with Concurrent Control ICLR 2020 Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video AAAI 2020 Advantage Amplification in Slowly Evolving Latent-State Environments IJCAI 2019 Language as an Abstraction for Hierarchical Deep Reinforcement Learning NeurIPS 2019 Learning Generalized Temporal Abstractions across Both Action and Perception AAAI 2019 Learning Options with Interest Functions AAAI 2019 MAVEN: Multi-Agent Variational Exploration NeurIPS 2019 Model Learning for Look-Ahead Exploration in Continuous Control AAAI 2019 Natural Option Critic AAAI 2019 Per-Decision Option Discounting ICML 2019 Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search IJCAI 2019 Successor Options: An Option Discovery Framework for Reinforcement Learning IJCAI 2019 Temporal Difference Variational Auto-Encoder ICLR 2019 The Expected-Length Model of Options IJCAI 2019 Time-Agnostic Prediction: Predicting Predictable Video Frames ICLR 2019 Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations IJCAI 2019 Variational Temporal Abstraction NeurIPS 2019 Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models NeurIPS 2018 An Inference-Based Policy Gradient Method for Learning Options ICML 2018 IQA: Visual Question Answering in Interactive Environments CVPR 2018 Learning Abstract Options NeurIPS 2018 FeUdal Networks for Hierarchical Reinforcement Learning ICML 2017 Hierarchy Through Composition with Multitask LMDPs ICML 2017