Siqi Liu

40 papers A* 9A 4C 1Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning.
ICML
Ian Gemp, Andreas Alexander Haupt, Luke Marris, Siqi Liu, Georgios Piliouras
2025 J jnl
Deviation Ratings: A General, Clone-Invariant Rating Method.
CoRR
Luke Marris, Siqi Liu, Ian Gemp, Georgios Piliouras, Marc Lanctot
2025 A* conf
Re-evaluating Open-ended Evaluation of Large Language Models.
ICLR
Siqi Liu, Ian Gemp, Luke Marris, Georgios Piliouras, Nicolas Heess, Marc Lanctot
2025 J jnl
Re-evaluating Open-ended Evaluation of Large Language Models.
CoRR
Siqi Liu, Ian Gemp, Luke Marris, Georgios Piliouras, Nicolas Heess, Marc Lanctot
2024 J jnl
Convex Markov Games: A Framework for Fairness, Imitation, and Creativity in Multi-Agent Learning.
CoRR
Ian Gemp, Andreas A. Haupt, Luke Marris, Siqi Liu, Georgios Piliouras
2024 A conf
Neural Population Learning beyond Symmetric Zero-Sum Games.
AAMAS
Siqi Liu, Luke Marris, Marc Lanctot, Georgios Piliouras, Joel Z. Leibo, Nicolas Heess
2024 J jnl
Neural Population Learning beyond Symmetric Zero-sum Games.
CoRR
Siqi Liu, Luke Marris, Marc Lanctot, Georgios Piliouras, Joel Z. Leibo, Nicolas Heess
2024 A* conf
NfgTransformer: Equivariant Representation Learning for Normal-form Games.
ICLR
Siqi Liu, Luke Marris, Georgios Piliouras, Ian Gemp, Nicolas Heess
2024 J jnl
NfgTransformer: Equivariant Representation Learning for Normal-form Games.
CoRR
Siqi Liu, Luke Marris, Georgios Piliouras, Ian Gemp, Nicolas Heess
2024 J jnl
States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers.
CoRR
Ian Gemp, Yoram Bachrach, Marc Lanctot, Roma Patel, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls
2024 J jnl
Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package.
CoRR
Luke Marris, Ian Gemp, Siqi Liu, Joel Z. Leibo, Georgios Piliouras
2022 J jnl
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments.
CoRR
Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
2022 J jnl
Developing, evaluating and scaling learning agents in multi-agent environments.
AI Commun.
Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
2022 J jnl
From motor control to team play in simulated humanoid football.
Sci. Robotics
Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
2022 A* conf
NeuPL: Neural Population Learning.
ICLR
Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel
2022 J jnl
NeuPL: Neural Population Learning.
CoRR
Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel
2022 J jnl
Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach.
CoRR
Bobak Shahriari, Abbas Abdolmaleki, Arunkumar Byravan, Abe Friesen, Siqi Liu, Jost Tobias Springenberg, Nicolas Heess, Matt Hoffman, Martin A. Riedmiller
2022 A* conf
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games.
ICML
Siqi Liu, Marc Lanctot, Luke Marris, Nicolas Heess
2022 J jnl
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games.
CoRR
Siqi Liu, Marc Lanctot, Luke Marris, Nicolas Heess
2022 A* conf
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers.
NeurIPS
Luke Marris, Ian Gemp, Thomas Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls
2022 J jnl
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers.
CoRR
Luke Marris, Ian Gemp, Thomas W. Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls
2021 J jnl
From Motor Control to Team Play in Simulated Humanoid Football.
CoRR
Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
2021 J jnl
Launchpad: A Programming Model for Distributed Machine Learning Research.
CoRR
Fan Yang, Gabriel Barth-Maron, Piotr Stanczyk, Matthew W. Hoffman, Siqi Liu, Manuel Kroiss, Aedan Pope, Alban Rrustemi
2021 A conf
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity.
AAMAS
Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi
2021 J jnl
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity.
CoRR
Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi
2020 A* conf
A Generalized Training Approach for Multiagent Learning.
ICLR
Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Pérolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Rémi Munos
2020 A* conf
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control.
ICLR
H. Francis Song, Abbas Abdolmaleki, Jost Tobias Springenberg, Aidan Clark, Hubert Soyer, Jack W. Rae, Seb Noury, Arun Ahuja, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Dan Belov, Martin A. Riedmiller, Matthew M. Botvinick
2020 J jnl
dm_control: Software and Tasks for Continuous Control.
CoRR
Yuval Tassa, Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy P. Lillicrap, Nicolas Heess
2020 J jnl
dm_control: Software and tasks for continuous control.
Softw. Impacts
Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy P. Lillicrap, Nicolas Heess, Yuval Tassa
2019 J jnl
A Generalized Training Approach for Multiagent Learning.
CoRR
Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Pérolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Rémi Munos
2019 — conf
Emergent Coordination Through Competition.
ICLR (Poster)
Siqi Liu, Guy Lever, Josh Merel, Saran Tunyasuvunakool, Nicolas Heess, Thore Graepel
2019 J jnl
Emergent Coordination Through Competition.
CoRR
Siqi Liu, Guy Lever, Josh Merel, Saran Tunyasuvunakool, Nicolas Heess, Thore Graepel
2019 — conf
Hierarchical Visuomotor Control of Humanoids.
ICLR (Poster)
Josh Merel, Arun Ahuja, Vu Pham, Saran Tunyasuvunakool, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Greg Wayne
2019 A conf
Observational Learning by Reinforcement Learning.
AAMAS
Diana Borsa, Nicolas Heess, Bilal Piot, Siqi Liu, Leonard Hasenclever, Rémi Munos, Olivier Pietquin
2019 C conf
Reinforcement Learning Agents acquire Flocking and Symbiotic Behaviour in Simulated Ecosystems.
ALIFE
Peter Sunehag, Guy Lever, Siqi Liu, Josh Merel, Nicolas Heess, Joel Z. Leibo, Edward Hughes, Tom Eccles, Thore Graepel
2019 A conf
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution.
AAMAS
Dylan Banarse, Yoram Bachrach, Siqi Liu, Guy Lever, Nicolas Heess, Chrisantha Fernando, Pushmeet Kohli, Thore Graepel
2019 J jnl
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control.
CoRR
H. Francis Song, Abbas Abdolmaleki, Jost Tobias Springenberg, Aidan Clark, Hubert Soyer, Jack W. Rae, Seb Noury, Arun Ahuja, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Dan Belov, Martin A. Riedmiller, Matthew M. Botvinick
2018 J jnl
Hierarchical visuomotor control of humanoids.
CoRR
Josh Merel, Arun Ahuja, Vu Pham, Saran Tunyasuvunakool, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Greg Wayne
2017 A* conf
Improved Image Captioning via Policy Gradient optimization of SPIDEr.
ICCV
Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy
2016 J jnl
Optimization of image description metrics using policy gradient methods.
CoRR
Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy