Edward Hughes

CoRR, 2023

Human-Timescale Adaptation in an Open-Ended Task Space.

[BibT_eX]

[DOI]

CoRR, 2023

Human-Timescale Adaptation in an Open-Ended Task Space.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments.

[BibT_eX]

[DOI]

CoRR, 2022

Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Michael Bradley Johanson

Finbarr Timbers

CoRR, 2022

Learning Robust Real-Time Cultural Transmission without Human Data.

[BibT_eX]

[DOI]

Yanko Gitahy Oliveira

Kory W. Mathewson

Piermaria Mendolicchio

CoRR, 2022

Developing, evaluating and scaling learning agents in multi-agent environments.

[BibT_eX]

[DOI]

AI Commun., 2022

2021

Deep reinforcement learning models the emergent dynamics of human cooperation.

[BibT_eX]

[DOI]

Antonio García Castañeda

CoRR, 2021

Neural Recursive Belief States in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Collaborating with Humans without Human Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Modelling Cooperation in Network Games with Spatio-Temporal Complexity.

[BibT_eX]

[DOI]

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Open Problems in Cooperative AI.

[BibT_eX]

[DOI]

CoRR, 2020

Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences.

[BibT_eX]

[DOI]

Thore Graepel

Matthew M. Botvinick

CoRR, 2020

The Hanabi challenge: A new frontier for AI research.

[BibT_eX]

[DOI]

Artif. Intell., 2020

Negotiating team formation using deep reinforcement learning.

[BibT_eX]

[DOI]

Wojciech M. Czarnecki

Thore Graepel

Artif. Intell., 2020

Bounds and dynamics for empirical game theoretic analysis.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., 2020

Learning to Incentivize Other Learning Agents.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Generalized Training Approach for Multiagent Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Smooth markets: A basic mechanism for organizing gradient-based learners.

[BibT_eX]

[DOI]

David Balduzzi

Wojciech M. Czarnecki

Proceedings of the 8th International Conference on Learning Representations, 2020

Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning.

[BibT_eX]

[DOI]

Kevin R. McKee

Ian Gemp

Brian McWilliams

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

OpenSpiel: A Framework for Reinforcement Learning in Games.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Reciprocity in Complex Sequential Social Dilemmas.

[BibT_eX]

[DOI]

CoRR, 2019

Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research.

[BibT_eX]

[DOI]

CoRR, 2019

Causal Reasoning from Meta-reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Reinforcement Learning Agents acquire Flocking and Symbiotic Behaviour in Simulated Ecosystems.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Artificial Life, 2019

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning to Understand Goal Specifications by Modelling Reward.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Evolving Intrinsic Motivations for Altruistic Behavior.

[BibT_eX]

[DOI]

Jane X. Wang

Chrisantha Fernando

Wojciech M. Czarnecki

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Malthusian Reinforcement Learning.

[BibT_eX]

[DOI]

Peter Sunehag

Iain Dunning

Thore Graepel

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

The Imitation Game: Learned Reciprocity in Markov games.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Intrinsic Social Motivation via Causal Influence in Multi-Agent RL.

[BibT_eX]

[DOI]

CoRR, 2018

Learning to Follow Language Instructions with Adversarial Reward Induction.

[BibT_eX]

[DOI]

CoRR, 2018

Inequity aversion resolves intertemporal social dilemmas.

[BibT_eX]

[DOI]

Antonio García Castañeda

CoRR, 2018

Inequity aversion improves cooperation in intertemporal social dilemmas.

[BibT_eX]

[DOI]