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Chris Lu
Chris Lu
Verified email at exeter.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
1192019
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
412022
Model-free opponent shaping
C Lu, T Willi, CAS De Witt, J Foerster
International Conference on Machine Learning, 14398-14411, 2022
392022
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
342023
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
342023
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
202023
Adversarial Cheap Talk
C Lu, T Willi, A Letcher, J Foerster
International Conference on Machine Learning, 2023
182023
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
Proximal learning with opponent-learning awareness
S Zhao, C Lu, RB Grosse, J Foerster
Advances in Neural Information Processing Systems 35, 26324-26336, 2022
142022
JaxMARL: Multi-Agent RL Environments in JAX
A Rutherford*, B Ellis*, M Gallici*, J Cook, A Lupu, G Ingvarsson, T Willi, ...
arXiv preprint arXiv:2311.10090, *Equal Contribution, 2023
62023
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
42024
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
42023
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
2*2024
Arbitrary Order Meta-Learning with Simple Population-Based Evolution
C Lu, S Towers, J Foerster
ALIFE 2023: The 2023 Conference on Artificial Life, 2023
22023
Pax: Multi-agent learning in jax
T Willi, A Khan, N Kwan, M Samvelyan, C Lu, J Foerster
22023
Context and History Aware Other-Shaping
A Khan, N Kwan, T Willi, C Lu, A Tacchetti, JN Foerster
2*2022
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
12024
Leading the Pack: N-player Opponent Shaping
A Souly, T Willi, A Khan, R Kirk, C Lu, E Grefenstette, T Rocktäschel
arXiv preprint arXiv:2312.12564, 2023
12023
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
2024
Revisiting Recurrent Reinforcement Learning with Memory Monoids
S Morad, C Lu, R Kortvelesy, S Liwicki, J Foerster, A Prorok
arXiv preprint arXiv:2402.09900, 2024
2024
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Articles 1–20