| 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 | 102 | 2019 |
| Model-free opponent shaping C Lu, T Willi, CAS De Witt, J Foerster International Conference on Machine Learning, 14398-14411, 2022 | 26 | 2022 |
| 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 | 19 | 2022 |
| 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 | 13 | 2023 |
| 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 | 11 | 2023 |
| 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 | 11 | 2022 |
| Adversarial Cheap Talk C Lu, T Willi, A Letcher, J Foerster International Conference on Machine Learning, 2023 | 7 | 2023 |
| 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 | 6 | 2023 |
| Proximal Learning With Opponent-Learning Awareness S Zhao, C Lu, RB Grosse, J Foerster Advances in Neural Information Processing Systems 35, 26324-26336, 2022 | 6 | 2022 |
| 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 | 3 | 2023 |
| 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 | 1 | 2023 |
| Discovering general reinforcement learning algorithms with adversarial environment design MT Jackson, M Jiang, J Parker-Holder, R Vuorio, C Lu, G Farquhar, ... arXiv preprint arXiv:2310.02782, 2023 | 1 | 2023 |
| Context and History Aware Other-Shaping A Khan, N Kwan, T Willi, C Lu, A Tacchetti, JN Foerster | 1 | 2022 |
| Leading the Pack: N-player Opponent Shaping A Souly, T Willi, A Khan, R Kirk, C Lu, E Grefenstette, T Rocktäschel Multi-Agent Security Workshop@ NeurIPS'23, 2023 | | 2023 |
| Analyzing the Sample Complexity of Model-Free Opponent Shaping K Fung, Q Zhang, C Lu, T Willi, JN Foerster ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023 | | 2023 |
| 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 | | 2023 |
| Arbitrary Order Meta-Learning with Simple Population-Based Evolution C Lu, S Towers, J Foerster ALIFE 2023: The 2023 Conference on Artificial Life, 2023 | | 2023 |
Jakob FoersterAssociate Professor, University of OxfordVerified email at eng.ox.ac.uk
