CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning

CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning

5 October 2021

Frederik Schubert

André Biedenkapp

Marius Lindauer

Papers citing "CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning"

14 / 14 papers shown

Title
Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners Fengming Zhu Fangzhen Lin 82 1 0 13 Feb 2025
Robots Learn Increasingly Complex Tasks with Intrinsic Motivation and Automatic Curriculum Learning S. Nguyen Nicolas Duminy A. Manoury D. Duhaut Cédric Buche 19 7 0 11 Feb 2022
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 80 163 0 21 Jan 2021
Probabilistic Active Meta-Learning Jean Kaddour Steindór Sæmundsson M. Deisenroth 49 35 0 17 Jul 2020
The NetHack Learning Environment Heinrich Küttler Nantas Nardelli Alexander H. Miller Roberta Raileanu Marco Selvatici Edward Grefenstette Tim Rocktaschel 49 179 0 24 Jun 2020
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 52 54 0 24 Apr 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits Jack Parker-Holder Vu Nguyen Stephen J. Roberts OffRL 79 83 0 06 Feb 2020
Provably efficient RL with Rich Observations via Latent State Decoding S. Du A. Krishnamurthy Nan Jiang Alekh Agarwal Miroslav Dudík John Langford OffRL 33 230 0 25 Jan 2019
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 140 1,584 0 05 Feb 2018
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 89 506 0 17 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 748 11,793 0 09 Mar 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 62 974 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 59 1,011 0 09 Nov 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 168 13,174 0 09 Sep 2015