Evolving Reinforcement Learning Algorithms

8 January 2021

Papers citing "Evolving Reinforcement Learning Algorithms"

47 / 47 papers shown

Title
On the consistency of hyper-parameter selection in value-based deep reinforcement learning J. Obando-Ceron J. G. Araújo Aaron C. Courville Pablo Samuel Castro 40 5 0 25 Jun 2024
Behaviour Distillation Andrei Lupu Chris Xiaoxuan Lu Jarek Liesen R. T. Lange Jakob Foerster DD 39 4 0 21 Jun 2024
Discovering Preference Optimization Algorithms with and for Large Language Models Chris Xiaoxuan Lu Samuel Holt Claudio Fanconi Alex J. Chan Jakob Foerster M. Schaar R. T. Lange OffRL 32 14 0 12 Jun 2024
Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks Tarek Kunze Paul Templier Dennis G. Wilson 33 0 0 20 Mar 2024
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 38 2 0 01 Mar 2024
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions Y. Lin Fan Lin Guorong Cai Hong Chen Lixin Zou Pengcheng Wu 38 3 0 20 Feb 2024
Discovering Temporally-Aware Reinforcement Learning Algorithms Matthew Jackson Chris Xiaoxuan Lu Louis Kirsch R. T. Lange Shimon Whiteson Jakob N. Foerster 19 18 0 08 Feb 2024
Guided Evolution with Binary Discriminators for ML Program Search John D. Co-Reyes Yingjie Miao George Tucker Aleksandra Faust Esteban Real 36 0 0 08 Feb 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms Pengyi Li Jianye Hao Hongyao Tang Xian Fu Yan Zheng Ke Tang 29 9 0 22 Jan 2024
Deep Model Predictive Optimization Jacob Sacks Rwik Rana Kevin Huang Alex Spitzer Guanya Shi Byron Boots 32 7 0 06 Oct 2023
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design Matthew Jackson Minqi Jiang Jack Parker-Holder Risto Vuorio Chris Xiaoxuan Lu Gregory Farquhar Shimon Whiteson Jakob N. Foerster OOD 11 9 0 04 Oct 2023
TurboGP: A flexible and advanced python based GP library Lino Rodriguez-Coayahuitl A. Morales-Reyes Hugo Jair Escalante LM&MA GP AI4CE 11 0 0 31 Aug 2023
Hyperparameters in Reinforcement Learning and How To Tune Them Theresa Eimer Marius Lindauer Roberta Raileanu OffRL 27 34 0 02 Jun 2023
Evolutionary Reinforcement Learning: A Survey Hui Bai Ran Cheng Yaochu Jin OffRL 43 52 0 07 Mar 2023
Unified Functional Hashing in Automatic Machine Learning Ryan Gillard S. Jonany Yingjie Miao Michael Munn Connal de Souza Jonathan Dungay Chen Liang David R. So Quoc V. Le Esteban Real 24 2 0 10 Feb 2023
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning Tairan He Weiye Zhao Changliu Liu OffRL 21 17 0 24 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 34 121 0 19 Jan 2023
Hyperparameters in Contextual RL are Highly Situational Theresa Eimer C. Benjamins Marius Lindauer 13 4 0 21 Dec 2022
General-Purpose In-Context Learning by Meta-Learning Transformers Louis Kirsch James Harrison Jascha Narain Sohl-Dickstein Luke Metz 29 72 0 08 Dec 2022
Adaptive Prototypical Networks Manas Gogoi Sambhavi Tiwari Shekhar Verma 13 2 0 22 Nov 2022
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search Xin Qiu Risto Miikkulainen 23 2 0 25 Oct 2022
Reinforcement Learning with Automated Auxiliary Loss Search Tairan He Yuge Zhang Kan Ren Minghuan Liu Che Wang Weinan Zhang Yuqing Yang Dongsheng Li 25 16 0 12 Oct 2022
Discovered Policy Optimisation Chris Xiaoxuan Lu J. Kuba Alistair Letcher Luke Metz Christian Schroeder de Witt Jakob N. Foerster OffRL 31 74 0 11 Oct 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 23 5 0 21 Sep 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 27 11 0 19 Sep 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization Xingyou Song Sagi Perel Chansoo Lee Greg Kochanski Daniel Golovin 29 26 0 27 Jul 2022
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 26 15 0 19 Jul 2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks Samuel Schmidgall Joe Hays 30 3 0 25 Jun 2022
Finite Expression Method for Solving High-Dimensional Partial Differential Equations Senwei Liang Haizhao Yang 21 18 0 21 Jun 2022
Transformers are Meta-Reinforcement Learners L. Melo OffRL 25 50 0 14 Jun 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning Mandi Zhao Pieter Abbeel Stephen James OffRL 23 32 0 07 Jun 2022
Evolving Pareto-Optimal Actor-Critic Algorithms for Generalizability and Stability Juan Jose Garau-Luis Yingjie Miao John D. Co-Reyes Aaron T Parisi Jie Tan Esteban Real Aleksandra Faust 29 0 0 08 Apr 2022
Context is Everything: Implicit Identification for Dynamics Adaptation Ben Evans Abitha Thankaraj Lerrel Pinto 34 20 0 10 Mar 2022
Evolving symbolic density functionals He Ma Arunachalam Narayanaswamy Patrick F. Riley Li Li 18 31 0 03 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 34 9 0 23 Feb 2022
A Simple Guard for Learned Optimizers Isabeau Prémont-Schwarz Jaroslav Vítkru Jan Feyereisl 49 7 0 28 Jan 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 30 100 0 11 Jan 2022
CONetV2: Efficient Auto-Channel Size Optimization for CNNs Yi Ru Wang Samir Khaki Weihang Zheng Mahdi S. Hosseini Konstantinos N. Plataniotis 26 6 0 13 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 41 23 0 05 Oct 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL Jack Parker-Holder Vu Nguyen Shaan Desai Stephen J. Roberts 32 16 0 30 Jun 2021
Regularized Softmax Deep Multi-Agent $Q$ -Learning L. Pan Tabish Rashid Bei Peng Longbo Huang Shimon Whiteson 30 31 0 22 Mar 2021
Tactical Optimism and Pessimism for Deep Reinforcement Learning Theodore H. Moskovitz Jack Parker-Holder Aldo Pacchiano Michael Arbel Michael I. Jordan 14 54 0 07 Feb 2021
ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search Spaces Xingyou Song K. Choromanski Jack Parker-Holder Yunhao Tang Qiuyi Zhang ... Deepali Jain Wenbo Gao Aldo Pacchiano Tamás Sarlós Yuxiang Yang 8 0 0 19 Jan 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 36 307 0 25 Dec 2020
Policy Gradient RL Algorithms as Directed Acyclic Graphs J. Luis 11 0 0 14 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016