Siqi Liu

Orcid: 0000-0001-6381-4552

Affiliations:
  • DeepMind, London, UK
  • University College London, UK (former)


According to our database1, Siqi Liu authored at least 24 papers between 2016 and 2024.

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Timeline

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Bibliography

2024
Convex Markov Games: A Framework for Fairness, Imitation, and Creativity in Multi-Agent Learning.
CoRR, 2024

Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package.
CoRR, 2024

States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers.
CoRR, 2024

NfgTransformer: Equivariant Representation Learning for Normal-form Games.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Population Learning beyond Symmetric Zero-Sum Games.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2022

From motor control to team play in simulated humanoid football.
Sci. Robotics, 2022

Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach.
CoRR, 2022

Developing, evaluating and scaling learning agents in multi-agent environments.
AI Commun., 2022

Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games.
Proceedings of the International Conference on Machine Learning, 2022

NeuPL: Neural Population Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Launchpad: A Programming Model for Distributed Machine Learning Research.
CoRR, 2021

Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
dm_control: Software and tasks for continuous control.
Softw. Impacts, 2020

V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control.
Proceedings of the 8th International Conference on Learning Representations, 2020

A Generalized Training Approach for Multiagent Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Reinforcement Learning Agents acquire Flocking and Symbiotic Behaviour in Simulated Ecosystems.
Proceedings of the 2019 Conference on Artificial Life, 2019

Hierarchical Visuomotor Control of Humanoids.
Proceedings of the 7th International Conference on Learning Representations, 2019

Emergent Coordination Through Competition.
Proceedings of the 7th International Conference on Learning Representations, 2019

Observational Learning by Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2017
Improved Image Captioning via Policy Gradient optimization of SPIDEr.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Optimization of image description metrics using policy gradient methods.
CoRR, 2016


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