Jelly Bean World: A Testbed for Never-Ending Learning

Jelly Bean World: A Testbed for Never-Ending Learning

15 February 2020

Emmanouil Antonios Platanios

Abulhair Saparov

Tom Michael Mitchell

Papers citing "Jelly Bean World: A Testbed for Never-Ending Learning"

9 / 9 papers shown

Title
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Yi Wan D. Korenkevych Zheqing Zhu OffRL CLL 55 0 0 12 Jan 2025
K-percent Evaluation for Lifelong RL Golnaz Mesbahi Parham Mohammad Panahi Olya Mastikhina Martha White Adam White CLL OffRL 42 0 0 02 Apr 2024
A Definition of Continual Reinforcement Learning David Abel André Barreto Benjamin Van Roy Doina Precup H. V. Hasselt Satinder Singh CLL 41 74 0 20 Jul 2023
Adaptive patch foraging in deep reinforcement learning agents Nathan J. Wispinski Andrew Butcher K. Mathewson Craig S. Chapman M. Botvinick P. Pilarski 21 8 0 14 Oct 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning C. Steinparz Thomas Schmied Fabian Paischer Marius-Constantin Dinu Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter CLL 29 11 0 12 Jul 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 60 26 0 17 Dec 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents Sam Powers Eliot Xing Eric Kolve Roozbeh Mottaghi Abhinav Gupta OffRL 36 38 0 19 Oct 2021
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings Eugene Vinitsky Raphael Köster J. Agapiou Edgar A. Duénez-Guzmán A. Vezhnevets Joel Z. Leibo 32 37 0 16 Jun 2021
Continual World: A Robotic Benchmark For Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL OffRL 17 89 0 23 May 2021