conftrace_

temporal abstraction

87 papers

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Co-occurring keywords · papers mentioning both

hierarchical reinforcement learning (28) reinforcement learning (23) option discovery (9) policy gradient (9) option framework (7) option learning (7) skill discovery (7) policy learning (7) model-based reinforcement learning (6) hierarchical learning (6)

Papers

Regret Minimization in MDPs with Options without Prior Knowledge NeurIPS 2017 Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation NeurIPS 2017 Adaptive Skills Adaptive Partitions (ASAP) NeurIPS 2016 Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation NeurIPS 2016 Strategic Attentive Writer for Learning Macro-Actions NeurIPS 2016 Pooled Motion Features for First-Person Videos CVPR 2015 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 Universal Option Models NeurIPS 2014 Learning Partially Observable Models Using Temporally Abstract Decision Trees NeurIPS 2012 Monte Carlo Value Iteration with Macro-Actions NeurIPS 2011