Timezone: »
We introduce the Adaptive Skills, Adaptive Partitions (ASAP) framework that (1) learns skills (i.e., temporally extended actions or options) as well as (2) where to apply them. We believe that both (1) and (2) are necessary for a truly general skill learning framework, which is a key building block needed to scale up to lifelong learning agents. The ASAP framework is also able to solve related new tasks simply by adapting where it applies its existing learned skills. We prove that ASAP converges to a local optimum under natural conditions. Finally, our experimental results, which include a RoboCup domain, demonstrate the ability of ASAP to learn where to reuse skills as well as solve multiple tasks with considerably less experience than solving each task from scratch.
Author Information
Daniel J Mankowitz (Technion)
Timothy A Mann (Google DeepMind)
Shie Mannor (Technion)
More from the Same Authors
-
2019 Workshop: Safety and Robustness in Decision-making »
Mohammad Ghavamzadeh · Shie Mannor · Yisong Yue · Marek Petrik · Yinlam Chow -
2019 Poster: Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies »
Yonathan Efroni · Nadav Merlis · Mohammad Ghavamzadeh · Shie Mannor -
2019 Spotlight: Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies »
Yonathan Efroni · Nadav Merlis · Mohammad Ghavamzadeh · Shie Mannor -
2018 Poster: Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning »
Yonathan Efroni · Gal Dalal · Bruno Scherrer · Shie Mannor -
2018 Spotlight: Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning »
Yonathan Efroni · Gal Dalal · Bruno Scherrer · Shie Mannor -
2018 Poster: Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning »
Tom Zahavy · Matan Haroush · Nadav Merlis · Daniel J Mankowitz · Shie Mannor -
2017 Poster: Rotting Bandits »
Nir Levine · Yacov Crammer · Shie Mannor -
2017 Poster: Shallow Updates for Deep Reinforcement Learning »
Nir Levine · Tom Zahavy · Daniel J Mankowitz · Aviv Tamar · Shie Mannor -
2015 Workshop: Machine Learning for (e-)Commerce »
Esteban Arcaute · Mohammad Ghavamzadeh · Shie Mannor · Georgios Theocharous -
2015 Poster: Online Learning for Adversaries with Memory: Price of Past Mistakes »
Oren Anava · Elad Hazan · Shie Mannor -
2015 Poster: Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach »
Yinlam Chow · Aviv Tamar · Shie Mannor · Marco Pavone -
2015 Poster: Policy Gradient for Coherent Risk Measures »
Aviv Tamar · Yinlam Chow · Mohammad Ghavamzadeh · Shie Mannor -
2015 Poster: Community Detection via Measure Space Embedding »
Mark Kozdoba · Shie Mannor -
2014 Workshop: From Bad Models to Good Policies (Sequential Decision Making under Uncertainty) »
Odalric-Ambrym Maillard · Timothy A Mann · Shie Mannor · Jeremie Mary · Laurent Orseau · Thomas Dietterich · Ronald Ortner · Peter Grünwald · Joelle Pineau · Raphael Fonteneau · Georgios Theocharous · Esteban D Arcaute · Christos Dimitrakakis · Nan Jiang · Doina Precup · Pierre-Luc Bacon · Marek Petrik · Aviv Tamar -
2014 Poster: "How hard is my MDP?" The distribution-norm to the rescue »
Odalric-Ambrym Maillard · Timothy A Mann · Shie Mannor -
2014 Poster: Robust Logistic Regression and Classification »
Jiashi Feng · Huan Xu · Shie Mannor · Shuicheng Yan -
2014 Oral: "How hard is my MDP?" The distribution-norm to the rescue »
Odalric-Ambrym Maillard · Timothy A Mann · Shie Mannor -
2013 Poster: Reinforcement Learning in Robust Markov Decision Processes »
Shiau Hong Lim · Huan Xu · Shie Mannor -
2013 Poster: Online PCA for Contaminated Data »
Jiashi Feng · Huan Xu · Shie Mannor · Shuicheng Yan -
2013 Poster: Learning Multiple Models via Regularized Weighting »
Daniel Vainsencher · Shie Mannor · Huan Xu -
2012 Poster: The Perturbed Variation »
Maayan Harel · Shie Mannor -
2011 Poster: From Bandits to Experts: On the Value of Side-Observations »
Shie Mannor · Ohad Shamir -
2011 Spotlight: From Bandits to Experts: On the Value of Side-Observations »
Shie Mannor · Ohad Shamir -
2011 Poster: Committing Bandits »
Loc X Bui · Ramesh Johari · Shie Mannor -
2010 Spotlight: Online Classification with Specificity Constraints »
Andrey Bernstein · Shie Mannor · Nahum Shimkin -
2010 Poster: Online Classification with Specificity Constraints »
Andrey Bernstein · Shie Mannor · Nahum Shimkin -
2010 Poster: Distributionally Robust Markov Decision Processes »
Huan Xu · Shie Mannor