conftrace_

temporal abstraction

75 papers

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Co-occurring keywords

hierarchical reinforcement learning (171) reinforcement learning (4352) option discovery (20) policy gradient (520) option framework (19) option learning (16) policy learning (702) hierarchical learning (87) skill discovery (45) model-based reinforcement learning (415)

Papers

Learning Options with Interest Functions AAAI 2019
Natural Option Critic AAAI 2019
Model Learning for Look-Ahead Exploration in Continuous Control AAAI 2019
Per-Decision Option Discounting ICML 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning NIPS 2019
MAVEN: Multi-Agent Variational Exploration NIPS 2019
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search IJCAI 2019
Learning Abstract Options NIPS 2018
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models NIPS 2018
IQA: Visual Question Answering in Interactive Environments CVPR 2018
An Inference-Based Policy Gradient Method for Learning Options ICML 2018
Regret Minimization in MDPs with Options without Prior Knowledge NIPS 2017
FeUdal Networks for Hierarchical Reinforcement Learning ICML 2017
Hierarchy Through Composition with Multitask LMDPs ICML 2017
Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation NIPS 2017
Strategic Attentive Writer for Learning Macro-Actions NIPS 2016
Adaptive Skills Adaptive Partitions (ASAP) NIPS 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation NIPS 2016
Pooled Motion Features for First-Person Videos CVPR 2015
Universal Option Models NIPS 2014
PAC-inspired Option Discovery in Lifelong Reinforcement Learning ICML 2014
Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014
Time-Regularized Interrupting Options (TRIO) ICML 2014
Learning Partially Observable Models Using Temporally Abstract Decision Trees NIPS 2012
Monte Carlo Value Iteration with Macro-Actions NIPS 2011