Learning with opponent-learning awareness

Learning with opponent-learning awareness

Multi-agent settings are quickly gathering importance in machine learning. This includes a plethora of recent work on deep multi-agent reinforcement learning, but also can be extended to hierarchical reinforcement learning, generative adversarial networks and decentralised optimization. In all these...

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Bibliografiske detaljer
Main Authors:	Foerster, J, Chen, R, Al-Shedivat, M, Whiteson, S, Abbeel, P, Mordatch, I
Format:	Conference item
Udgivet:	International Foundation for Autonomous Agents and Multiagent Systems 2018

Lignende værker

Stable opponent shaping in differentiable games
af: Letcher, A, et al.
Udgivet: (2019)

Evolutionary dynamics of networked multi-person games: mixing opponent-aware and opponent-independent strategy decisions
af: Feng Huang, et al.
Udgivet: (2019-01-01)

Deep learning with intelligent opponent in fencing
af: Loh, Qiao Yan
Udgivet: (2022)

Learning to play against any mixture of opponents
af: Max Olan Smith, et al.
Udgivet: (2023-07-01)

A baseline for any order gradient estimation in stochastic computation graphs
af: Mao, J, et al.
Udgivet: (2019)

DiCE: The infinitely differentiable Monte Carlo estimator
af: Foerster, J, et al.
Udgivet: (2018)

Playing Extensive Games with Learning of Opponent’s Cognition
af: Chanjuan Liu, et al.
Udgivet: (2024-02-01)

On the normative advantages of dopamine and striatal opponency for learning and choice
af: Alana Jaskir, et al.
Udgivet: (2023-03-01)

Perception channels and cognitive styles: opponents, followers or learning allies?
af: María Cristina Gamboa Mora, et al.
Udgivet: (2021-02-01)

1. opponent
af: Britt Andersen
Udgivet: (2009-09-01)

1. opponent
af: Kirsten Thisted
Udgivet: (2012-05-01)

2. opponent
af: Steinar Gimnes
Udgivet: (2012-05-01)

2. opponent
af: Atle Kittang
Udgivet: (2009-09-01)

2. Opponent
af: Anders Öhman
Udgivet: (2003-08-01)

1. Opponent
af: Petter Aaslestad
Udgivet: (2003-08-01)

P1-12: Different Double-Pulse Distinguishability Among the Luminance Opponency, the Red-Green Opponency, and the Blue-Yellow Opponency
af: Lin Shi, et al.
Udgivet: (2012-10-01)

Blogger against opponent
af: Guang Ming, Daily
Udgivet: (2011)

Laughing at political opponents
af: Orest Semotiuk
Udgivet: (2023-06-01)

A Response to the Opponents
af: Grigory Goutner
Udgivet: (2015-11-01)

Optimizing Automated Negotiation: Integrating Opponent Modeling with Reinforcement Learning for Strategy Enhancement
af: Ya Zhang, et al.
Udgivet: (2025-02-01)

Learning to communicate with Deep multi-agent reinforcement learning
af: Foerster, J, et al.
Udgivet: (2016)

Mutual alignment transfer learning
af: Wulfmeier, M, et al.
Udgivet: (2017)

VR table tennis opponent
af: Sim, Davis Kwan Hong
Udgivet: (2023)

ON SOME PROBLEMS OF DISSERTATION OPPONENCY
af: V. Ya. Gelman
Udgivet: (2018-06-01)

Free of discrimination appeal from the name of the opponent
af: Bashar Ahmed Al-Jubouri
Udgivet: (2018-09-01)

Regret Testing: Learning to Play Nash Equilibrium without Knowing You Have an Opponent.
af: Foster, D, et al.
Udgivet: (2006)

Is the S-opponent chromatic sub-system sluggish?
af: Smithson, H, et al.
Udgivet: (2004)

PPARs: Protectors or Opponents of Myocardial Function?
af: Christine J. Pol, et al.
Udgivet: (2015-01-01)

Reputation in the simultaneous play of multiple opponents
af: Fudenberg, Drew, et al.
Udgivet: (2011)

Survey of intention recognition for opponent modeling
af: Wei GAO, et al.
Udgivet: (2021-08-01)

Acinetobacter baumannii: an evolving and cunning opponent
af: Jingchao Shi, et al.
Udgivet: (2024-01-01)

Statistical Blunders by the Proponents and Opponents of Accountability
af: David Rogosa
Udgivet: (2005-03-01)

Crayfish recognize the faces of fight opponents.
af: Joanne Van der Velden, et al.
Udgivet: (2008-02-01)

Survey of intention recognition for opponent modeling
af: GAO Wei, et al.
Udgivet: (2021-08-01)

Pain relief as an opponent process: a psychophysical investigation.
af: Leknes, S, et al.
Udgivet: (2008)

Human wagering behavior depends on opponents' faces.
af: Erik J Schlicht, et al.
Udgivet: (2010-07-01)

Human Wagering Behavior Depends on Opponents' Faces
af: Schlicht, Erik J., et al.
Udgivet: (2011)

Loaded DiCE: Trading off bias and variance in any-order score function gradient estimators for reinforcement learning
af: Farquhar, G, et al.
Udgivet: (2019)

Regulation of mouse exploratory behaviour by irradiance and cone-opponent signals
af: E. Tamayo, et al.
Udgivet: (2023-08-01)

A PERCEPTUAL CUE ON A MOVING OPPONENT IMPROVES THE LEARNING OF A MOTOR SKILL FROM AIKIDO
af: Estefan Gemas Neto, et al.
Udgivet: (2022-01-01)