Exploiting Hierarchy for Learning and Transfer in KL-regularized RL

Exploiting Hierarchy for Learning and Transfer in KL-regularized RL

18 March 2019

Dhruva Tirumala

Alexandre Galashov

Leonard Hasenclever

Arun Ahuja

Papers citing "Exploiting Hierarchy for Learning and Transfer in KL-regularized RL"

18 / 18 papers shown

Title
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning Pathmanathan Pankayaraj Natalia Díaz Rodríguez Javier Del Ser CLL OffRL 43 0 0 05 Dec 2023
Bayesian Reinforcement Learning with Limited Cognitive Load Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy OffRL 34 8 0 05 May 2023
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration Giulia Vezzani Dhruva Tirumala Markus Wulfmeier Dushyant Rao A. Abdolmaleki ... Tim Hertweck Thomas Lampe Fereshteh Sadeghi N. Heess Martin Riedmiller OffRL 43 6 0 24 Nov 2022
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy 31 4 0 30 Oct 2022
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies Dushyant Rao Fereshteh Sadeghi Leonard Hasenclever Markus Wulfmeier Martina Zambelli ... Dhruva Tirumala Y. Aytar J. Merel N. Heess R. Hadsell 26 28 0 09 Dec 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf BDL OffRL 27 31 0 21 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 30 141 0 01 Jul 2021
An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning Dilip Arumugam Peter Henderson Pierre-Luc Bacon 24 17 0 10 Mar 2021
Learning Dexterous Manipulation from Suboptimal Experts Rae Jeong Jost Tobias Springenberg Jackie Kay Daniel Zheng Yuxiang Zhou Alexandre Galashov N. Heess F. Nori OffRL 18 36 0 16 Oct 2020
Data-efficient Hindsight Off-policy Option Learning Markus Wulfmeier Dushyant Rao Roland Hafner Thomas Lampe A. Abdolmaleki ... Michael Neunert Dhruva Tirumala Noah Y. Siegel N. Heess Martin Riedmiller OffRL 31 47 0 30 Jul 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 33 3 0 18 Jun 2020
Hierarchically Decoupled Imitation for Morphological Transfer D. Hejna Pieter Abbeel Lerrel Pinto LM&Ro 25 41 0 03 Mar 2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning Noah Y. Siegel Jost Tobias Springenberg Felix Berkenkamp A. Abdolmaleki Michael Neunert Thomas Lampe Roland Hafner Nicolas Heess Martin Riedmiller OffRL 22 282 0 19 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 30 25 0 14 Feb 2020
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 11 41 0 09 Oct 2019
Compositional Transfer in Hierarchical Reinforcement Learning Markus Wulfmeier A. Abdolmaleki Roland Hafner Jost Tobias Springenberg Michael Neunert Tim Hertweck Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller 30 27 0 26 Jun 2019
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 143 928 0 07 Jul 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,330 0 05 Nov 2016