Adversarial Cheap Talk

Adversarial Cheap Talk

20 November 2022

Chris Xiaoxuan Lu

Alistair Letcher

Jakob N. Foerster

Papers citing "Adversarial Cheap Talk"

18 / 18 papers shown

Title
Selective Response Strategies for GenAI Boaz Taitler Omer Ben-Porat 66 1 0 02 Feb 2025
Mixture of Experts in a Mixture of RL settings Timon Willi J. Obando-Ceron Jakob Foerster Karolina Dziugaite Pablo Samuel Castro MoE 41 7 0 26 Jun 2024
Behaviour Distillation Andrei Lupu Chris Xiaoxuan Lu Jarek Liesen R. T. Lange Jakob Foerster DD 39 4 0 21 Jun 2024
Discovering Minimal Reinforcement Learning Environments Jarek Liesen Chris Xiaoxuan Lu Andrei Lupu Jakob N. Foerster Henning Sprekeler R. T. Lange OffRL 48 3 0 18 Jun 2024
EvIL: Evolution Strategies for Generalisable Imitation Learning Silvia Sapora Gokul Swamy Chris Xiaoxuan Lu Yee Whye Teh Jakob Nicolaus Foerster 34 6 0 15 Jun 2024
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning Jonathan Cook Chris Xiaoxuan Lu Edward Hughes Joel Z Leibo Jakob N. Foerster 38 4 0 01 Jun 2024
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents Ethan Rathbun Christopher Amato Alina Oprea OffRL AAML 46 4 0 30 May 2024
Discovering Temporally-Aware Reinforcement Learning Algorithms Matthew Jackson Chris Xiaoxuan Lu Louis Kirsch R. T. Lange Shimon Whiteson Jakob N. Foerster 21 18 0 08 Feb 2024
Learning mirror maps in policy mirror descent Carlo Alfano Sebastian Towers Silvia Sapora Chris Xiaoxuan Lu Patrick Rebeschini 30 0 0 07 Feb 2024
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error Haoran Li Zicheng Zhang Wang Luo Congying Han Yudong Hu Tiande Guo Shichen Liao AAML 34 2 0 03 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 39 9 0 22 Jan 2024
Adaptive Discounting of Training Time Attacks Ridhima Bector Abhay M. S. Aradhya Chai Quek Zinovi Rabinovich AAML 31 0 0 05 Jan 2024
Leading the Pack: N-player Opponent Shaping Alexandra Souly Timon Willi Akbir Khan Robert Kirk Chris Xiaoxuan Lu Edward Grefenstette Tim Rocktaschel 40 3 0 19 Dec 2023
Arbitrary Order Meta-Learning with Simple Population-Based Evolution Chris Xiaoxuan Lu Sebastian Towers Jakob N. Foerster 23 5 0 16 Mar 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 122 0 19 Jan 2023
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 93 180 0 16 May 2022
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning Lun Wang Zaynah Javed Xian Wu Wenbo Guo Xinyu Xing D. Song AAML 166 64 0 02 May 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 64 162 0 21 Jan 2021