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Chris Lu
Chris Lu
University of Oxford
Bestätigte E-Mail-Adresse bei exeter.ox.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Learning to control self-assembling morphologies: a study of generalization via modularity
D Pathak*, C Lu*, T Darrell, P Isola, AA Efros
Advances in Neural Information Processing Systems 32, *equal contribution, 2019
1332019
Discovered policy optimisation
C Lu*, J Kuba*, A Letcher, L Metz, C Schroeder de Witt, J Foerster
Advances in Neural Information Processing Systems, *equal contribution …, 2022
612022
Structured state space models for in-context reinforcement learning
C Lu, Y Schroecker, A Gu, E Parisotto, J Foerster, S Singh, F Behbahani
Advances in Neural Information Processing Systems, 2023
532023
Model-free opponent shaping
C Lu, T Willi, CAS De Witt, J Foerster
International Conference on Machine Learning, 14398-14411, 2022
492022
Discovering Evolution Strategies via Meta-Black-Box Optimization
RT Lange, T Schaul, Y Chen, T Zahavy, V Dallibard, C Lu, S Singh, ...
11th International Conference on Learning Representations, ICLR 2023, 2023
412023
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
A Rutherford*, B Ellis*, M Gallici*, J Cook, A Lupu, G Ingvarsson, T Willi, ...
Proceedings of the 23rd International Conference on Autonomous Agents and …, 2024
27*2024
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization
RT Lange, T Schaul, Y Chen, C Lu, T Zahavy, V Dalibard, S Flennerhag
Genetic and Evolutionary Computation Conference Companion (GECCO), 2023
272023
Proximal learning with opponent-learning awareness
S Zhao, C Lu, RB Grosse, J Foerster
Advances in Neural Information Processing Systems 35, 26324-26336, 2022
212022
Adversarial Cheap Talk
C Lu, T Willi, A Letcher, J Foerster
International Conference on Machine Learning, 2023
202023
Centralized model and exploration policy for multi-agent RL
Q Zhang, C Lu, A Garg, J Foerster
International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2022
162022
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
C Lu*, C Lu*, RT Lange*, J Foerster, J Clune, D Ha
arXiv preprint arXiv:2408.06292, 2024
132024
Discovering Temporally-Aware Reinforcement Learning Algorithms
MT Jackson*, C Lu*, L Kirsch, RT Lange, S Whiteson, JN Foerster
arXiv preprint arXiv:2402.05828, *Equal contribution, 2024
112024
Discovering general reinforcement learning algorithms with adversarial environment design
MT Jackson, M Jiang, J Parker-Holder, R Vuorio, C Lu, G Farquhar, ...
Advances in Neural Information Processing Systems 36, 2024
62024
Scaling Opponent Shaping to High Dimensional Games
A Khan*, T Willi*, N Kwan*, A Tacchetti, C Lu, E Grefenstette, ...
arXiv preprint arXiv:2312.12568, 2023
6*2023
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
S Frey*, K Li*, P Nagy*, S Sapora, C Lu, S Zohren, J Foerster, A Calinescu
arXiv preprint arXiv:2308.13289, 2023
52023
Arbitrary Order Meta-Learning with Simple Population-Based Evolution
C Lu, S Towers, J Foerster
ALIFE 2023: The 2023 Conference on Artificial Life, 2023
52023
Analysing the Sample Complexity of Opponent Shaping
K Fung*, Q Zhang*, C Lu, J Wan, T Willi, J Foerster
arXiv preprint arXiv:2402.05782, 2024
3*2024
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages
A Jesson, C Lu, G Gupta, A Filos, JN Foerster, Y Gal
arXiv preprint arXiv:2306.01460, 2023
32023
Behaviour distillation
A Lupu, C Lu, J Liesen, RT Lange, J Foerster
arXiv preprint arXiv:2406.15042, 2024
22024
Discovering Preference Optimization Algorithms with and for Large Language Models
C Lu*, S Holt*, C Fanconi*, AJ Chan, J Foerster, M van der Schaar, ...
arXiv preprint arXiv:2406.08414, 2024
22024
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