Adapting Behaviour for Learning Progress

14 December 2019

Papers citing "Adapting Behaviour for Learning Progress"

7 / 7 papers shown

Title
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic Thomy Phan Benran Zhang Shao-Hung Chan Sven Koenig AI4CE 26 0 0 06 Aug 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence Edward Hughes Michael Dennis Jack Parker-Holder Feryal M. P. Behbahani Aditi Mavalankar Yuge Shi Tom Schaul Tim Rocktaschel LRM 34 21 0 06 Jun 2024
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting Nicolai Dorka Tim Welschehold Wolfram Burgard 16 3 0 17 Mar 2023
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
When should agents explore? Miruna Pislar David Szepesvari Georg Ostrovski Diana Borsa Tom Schaul 40 22 0 26 Aug 2021
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 28 10 0 25 May 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 13 509 0 30 Mar 2020