Neuroevolution of Self-Interpretable Agents

18 March 2020

Papers citing "Neuroevolution of Self-Interpretable Agents"

23 / 23 papers shown

Title
Neuroevolution of Self-Attention Over Proto-Objects Rafael C. Pinto Anderson R. Tavares OCL 205 0 0 30 Apr 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 34 1 0 02 Mar 2025
A Novel Switch-Type Policy Network for Resource Allocation Problems: Technical Report Jerrod Wigmore B. Shrader E. Modiano 72 0 0 19 Jan 2025
On learning history based policies for controlling Markov decision processes Gandharv Patil Aditya Mahajan Doina Precup OffRL 21 5 0 06 Nov 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad Izzeddin Gur Jasper Emhoff Nathaniel Alexis Aleksandra Faust Pieter Abbeel Ion Stoica SSL 29 12 0 19 Oct 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery Félix Chalumeau Raphael Boige Bryan Lim Valentin Macé Maxime Allard Arthur Flajolet Antoine Cully Thomas Pierrot 26 21 0 06 Oct 2022
Towards self-attention based visual navigation in the real world Jaime Ruiz-Serra Jack White Stephen M. Petrie T. Kameneva C. McCarthy 28 0 0 15 Sep 2022
BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning Eugene Bykovets Yannick Metz Mennatallah El-Assady Daniel A. Keim J. M. Buhmann AAML 29 0 0 22 Aug 2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter Aleksandar Stanić Yujin Tang David R Ha Jürgen Schmidhuber ELM 29 13 0 05 Aug 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Andrei Lupu Heinrich Küttler Edward Grefenstette Tim Rocktaschel Jakob N. Foerster 43 13 0 11 Jul 2022
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention F. Pigozzi Yujin Tang Eric Medvet David R Ha 44 22 0 13 Apr 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 27 52 0 17 Feb 2022
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs Leonardo Lucio Custode Giovanni Iacca 27 13 0 10 Feb 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Collective Intelligence for Deep Learning: A Survey of Recent Developments David R Ha Yu Tang AI4CE 31 69 0 29 Nov 2021
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 129 95 0 06 Oct 2021
Interpretable UAV Collision Avoidance using Deep Reinforcement Learning Deep Thomas Daniil Olshanskyi Karter Krueger Tichakorn Wongpiromsarn Ali Jannesari 29 5 0 25 May 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods Nicholay Topin Stephanie Milani Fei Fang Manuela Veloso OffRL 29 32 0 25 Feb 2021
Uncertainty Maximization in Partially Observable Domains: A Cognitive Perspective Mirza Ramicic Andrea Bonarini 21 3 0 22 Feb 2021
Rethinking Attention with Performers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Afroz Mohiuddin Lukasz Kaiser David Belanger Lucy J. Colwell Adrian Weller 63 1,522 0 30 Sep 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 39 48 0 24 Aug 2020
Meta-Learning through Hebbian Plasticity in Random Networks Elias Najarro S. Risi 30 77 0 06 Jul 2020
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Peter Hawkins Jared Davis David Belanger Lucy J. Colwell Adrian Weller 39 84 0 05 Jun 2020