Timezone: »
Our paper introduces a modular RL algorithm that provides a temporally extended interface for RL agents, akin to a piano keyboard: the agent chooses among a large selection of “chords” that correspond to linear combinations of “keys” executed over an extended number of environment steps. The added level of abstraction is obtained by pre-training a set of skills corresponding to a finite set of chords and generalized policy evaluation and improvement to synthesize any other chord on-the-fly. We would like to demonstrate the flexibility of the proposed interface by allowing audience members to perform complex RL tasks through the use of a combination of a small set of skills corresponding to intuitive short term objectives. MIDI musical keyboards will be used to control virtual physical bodies through the original action space (i.e. control body joints), as well as abstract action interfaces. The latter concretely illustrates the ability of linearly combining a finite set of skills, akin to playing chords using a small number of keys.
Author Information
Daniel Toyama (DeepMind)
Shaobo Hou (DeepMind)
Gheorghe Comanici (DeepMind)
Andre Barreto (DeepMind)
Doina Precup (DeepMind)
Shibl Mourad (DeepMind)
Eser Aygün (DeepMind)
Philippe Hamel (Deepmind)
More from the Same Authors
-
2020 Workshop: The Challenges of Real World Reinforcement Learning »
Daniel Mankowitz · Gabriel Dulac-Arnold · Shie Mannor · Omer Gottesman · Anusha Nagabandi · Doina Precup · Timothy A Mann · Gabriel Dulac-Arnold -
2020 Poster: Value-driven Hindsight Modelling »
Arthur Guez · Fabio Viola · Theophane Weber · Lars Buesing · Steven Kapturowski · Doina Precup · David Silver · Nicolas Heess -
2020 Poster: On Efficiency in Hierarchical Reinforcement Learning »
Zheng Wen · Doina Precup · Morteza Ibrahimi · Andre Barreto · Benjamin Van Roy · Satinder Singh -
2020 Poster: The Value Equivalence Principle for Model-Based Reinforcement Learning »
Christopher Grimm · Andre Barreto · Satinder Singh · David Silver -
2020 Spotlight: On Efficiency in Hierarchical Reinforcement Learning »
Zheng Wen · Doina Precup · Morteza Ibrahimi · Andre Barreto · Benjamin Van Roy · Satinder Singh -
2019 Poster: Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates »
Carlos Riquelme · Hugo Penedones · Damien Vincent · Hartmut Maennel · Sylvain Gelly · Timothy A Mann · Andre Barreto · Gergely Neu -
2019 Poster: The Option Keyboard: Combining Skills in Reinforcement Learning »
Andre Barreto · Diana Borsa · Shaobo Hou · Gheorghe Comanici · Eser Aygün · Philippe Hamel · Daniel Toyama · Jonathan hunt · Shibl Mourad · David Silver · Doina Precup -
2019 Poster: Hindsight Credit Assignment »
Anna Harutyunyan · Will Dabney · Thomas Mesnard · Mohammad Gheshlaghi Azar · Bilal Piot · Nicolas Heess · Hado van Hasselt · Gregory Wayne · Satinder Singh · Doina Precup · Remi Munos -
2019 Spotlight: Hindsight Credit Assignment »
Anna Harutyunyan · Will Dabney · Thomas Mesnard · Mohammad Gheshlaghi Azar · Bilal Piot · Nicolas Heess · Hado van Hasselt · Gregory Wayne · Satinder Singh · Doina Precup · Remi Munos -
2018 Poster: Fast deep reinforcement learning using online adjustments from the past »
Steven Hansen · Alexander Pritzel · Pablo Sprechmann · Andre Barreto · Charles Blundell -
2017 Poster: Natural Value Approximators: Learning when to Trust Past Estimates »
Zhongwen Xu · Joseph Modayil · Hado van Hasselt · Andre Barreto · David Silver · Tom Schaul -
2017 Poster: Successor Features for Transfer in Reinforcement Learning »
Andre Barreto · Will Dabney · Remi Munos · Jonathan Hunt · Tom Schaul · David Silver · Hado van Hasselt -
2017 Spotlight: Successor Features for Transfer in Reinforcement Learning »
Andre Barreto · Will Dabney · Remi Munos · Jonathan Hunt · Tom Schaul · David Silver · Hado van Hasselt -
2017 Spotlight: Natural Value Approximators: Learning when to Trust Past Estimates »
Zhongwen Xu · Joseph Modayil · Hado van Hasselt · Andre Barreto · David Silver · Tom Schaul -
2012 Poster: On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization »
Andre S Barreto · Doina Precup · Joelle Pineau -
2011 Poster: Reinforcement Learning using Kernel-Based Stochastic Factorization »
Andre S Barreto · Doina Precup · Joelle Pineau