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Chris Lu 0001
Person information
- affiliation: University of Oxford, UK
- affiliation (former): University of California Berkeley, CA, USA
- not to be confused with: Christopher Lu 0002
Other persons with the same name
- Chris Lu 0002 — Athabasca University, School of Computing and Information Systems, Canada
- Christopher Lu 0002 — University of Oxford, UK
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2020 – today
- 2024
- [c24]Kitty Fung, Qizhen Zhang, Chris Lu, Jia Wan, Timon Willi, Jakob N. Foerster:
Analysing the Sample Complexity of Opponent Shaping. AAMAS 2024: 623-631 - [c23]Akbir Khan, Timon Willi, Newton Kwan, Andrea Tacchetti, Chris Lu, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster:
Scaling Opponent Shaping to High Dimensional Games. AAMAS 2024: 1001-1010 - [c22]Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster:
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. AAMAS 2024: 2444-2446 - [c21]Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster:
Discovering Temporally-Aware Reinforcement Learning Algorithms. ICLR 2024 - [c20]Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob Nicolaus Foerster:
Behaviour Distillation. ICLR 2024 - [c19]Andrew Jesson, Chris Lu, Gunshi Gupta, Nicolas Beltran-Velez, Angelos Filos, Jakob Nicolaus Foerster, Yarin Gal:
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages. ICML 2024 - [c18]Silvia Sapora, Gokul Swamy, Chris Lu, Yee Whye Teh, Jakob Nicolaus Foerster:
EvIL: Evolution Strategies for Generalisable Imitation Learning. ICML 2024 - [c17]Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert T. Lange:
Discovering Preference Optimization Algorithms with and for Large Language Models. NeurIPS 2024 - [c16]Jonathan Cook, Chris Lu, Edward Hughes, Joel Z. Leibo, Jakob N. Foerster:
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning. NeurIPS 2024 - [c15]Alexander David Goldie, Chris Lu, Matthew Thomas Jackson, Shimon Whiteson, Jakob N. Foerster:
Can Learned Optimization Make Reinforcement Learning Less Difficult? NeurIPS 2024 - [c14]Steven D. Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki, Jakob N. Foerster, Amanda Prorok:
Recurrent Reinforcement Learning with Memoroids. NeurIPS 2024 - [c13]Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Ravi Hammond, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster:
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. NeurIPS 2024 - [i32]Jake Levi, Chris Lu, Timon Willi, Christian Schröder de Witt, Jakob N. Foerster:
The Danger Of Arrogance: Welfare Equilibra As A Solution To Stackelberg Self-Play In Non-Coincidental Games. CoRR abs/2402.01088 (2024) - [i31]Carlo Alfano, Sebastian Towers, Silvia Sapora, Chris Lu, Patrick Rebeschini:
Meta-learning the mirror map in policy mirror descent. CoRR abs/2402.05187 (2024) - [i30]Kitty Fung, Qizhen Zhang, Chris Lu, Jia Wan, Timon Willi, Jakob N. Foerster:
Analysing the Sample Complexity of Opponent Shaping. CoRR abs/2402.05782 (2024) - [i29]Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert T. Lange, Shimon Whiteson, Jakob Nicolaus Foerster:
Discovering Temporally-Aware Reinforcement Learning Algorithms. CoRR abs/2402.05828 (2024) - [i28]Steven D. Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki
, Jakob N. Foerster, Amanda Prorok:
Revisiting Recurrent Reinforcement Learning with Memory Monoids. CoRR abs/2402.09900 (2024) - [i27]Jonathan Cook, Chris Lu, Edward Hughes, Joel Z. Leibo, Jakob N. Foerster:
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning. CoRR abs/2406.00392 (2024) - [i26]Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert Tjarko Lange:
Discovering Preference Optimization Algorithms with and for Large Language Models. CoRR abs/2406.08414 (2024) - [i25]Silvia Sapora, Gokul Swamy, Chris Lu, Yee Whye Teh, Jakob Nicolaus Foerster:
EvIL: Evolution Strategies for Generalisable Imitation Learning. CoRR abs/2406.11905 (2024) - [i24]Jarek Liesen, Chris Lu, Andrei Lupu, Jakob N. Foerster, Henning Sprekeler, Robert T. Lange:
Discovering Minimal Reinforcement Learning Environments. CoRR abs/2406.12589 (2024) - [i23]Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob N. Foerster:
Behaviour Distillation. CoRR abs/2406.15042 (2024) - [i22]Alexander David Goldie, Chris Lu, Matthew Thomas Jackson, Shimon Whiteson, Jakob Nicolaus Foerster:
Can Learned Optimization Make Reinforcement Learning Less Difficult? CoRR abs/2407.07082 (2024) - [i21]Eduardo Pignatelli, Jarek Liesen, Robert Tjarko Lange, Chris Lu, Pablo Samuel Castro, Laura Toni:
NAVIX: Scaling MiniGrid Environments with JAX. CoRR abs/2407.19396 (2024) - [i20]Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob N. Foerster, Jeff Clune, David Ha:
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery. CoRR abs/2408.06292 (2024) - [i19]Chris Lu, Michael Beukman, Michael T. Matthews, Jakob N. Foerster:
JaxLife: An Open-Ended Agentic Simulator. CoRR abs/2409.00853 (2024) - [i18]Michael T. Matthews, Michael Beukman, Chris Lu, Jakob N. Foerster:
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks. CoRR abs/2410.23208 (2024) - [i17]Akarsh Kumar, Chris Lu, Louis Kirsch, Yujin Tang, Kenneth O. Stanley, Phillip Isola, David Ha:
Automating the Search for Artificial Life with Foundation Models. CoRR abs/2412.17799 (2024) - 2023
- [c12]Robert Tjarko Lange, Tom Schaul
Discovering Evolution Strategies via Meta-Black-Box Optimization. GECCO Companion 2023: 29-30 - [c11]Robert Tjarko Lange, Tom Schaul
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. GECCO 2023: 929-937 - [c10]Sascha Yves Frey
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading. ICAIF 2023: 583-591 - [c9]Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag:
Discovering Evolution Strategies via Meta-Black-Box Optimization. ICLR 2023 - [c8]Chris Lu, Timon Willi, Alistair Letcher, Jakob Nicolaus Foerster:
Adversarial Cheap Talk. ICML 2023: 22917-22941 - [c7]Chris Lu, Yannick Schroecker, Albert Gu, Emilio Parisotto, Jakob N. Foerster, Satinder Singh, Feryal M. P. Behbahani:
Structured State Space Models for In-Context Reinforcement Learning. NeurIPS 2023 - [c6]Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster:
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. NeurIPS 2023 - [i16]Chris Lu, Yannick Schroecker, Albert Gu, Emilio Parisotto, Jakob N. Foerster, Satinder Singh, Feryal M. P. Behbahani:
Structured State Space Models for In-Context Reinforcement Learning. CoRR abs/2303.03982 (2023) - [i15]Chris Lu, Sebastian Towers, Jakob N. Foerster:
Arbitrary Order Meta-Learning with Simple Population-Based Evolution. CoRR abs/2303.09478 (2023) - [i14]Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag:
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. CoRR abs/2304.03995 (2023) - [i13]Andrew Jesson, Chris Lu, Gunshi Gupta, Angelos Filos, Jakob Nicolaus Foerster, Yarin Gal:
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages. CoRR abs/2306.01460 (2023) - [i12]Sascha Frey, Kang Li, Peer Nagy, Silvia Sapora, Chris Lu, Stefan Zohren, Jakob N. Foerster, Anisoara Calinescu:
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading. CoRR abs/2308.13289 (2023) - [i11]Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob Nicolaus Foerster:
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. CoRR abs/2310.02782 (2023) - [i10]Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster:
JaxMARL: Multi-Agent RL Environments in JAX. CoRR abs/2311.10090 (2023) - [i9]Alexandra Souly, Timon Willi, Akbir Khan, Robert Kirk, Chris Lu, Edward Grefenstette, Tim Rocktäschel:
Leading the Pack: N-player Opponent Shaping. CoRR abs/2312.12564 (2023) - [i8]Akbir Khan, Timon Willi, Newton Kwan, Andrea Tacchetti, Chris Lu, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster:
Scaling Opponent Shaping to High Dimensional Games. CoRR abs/2312.12568 (2023) - 2022
- [c5]Qizhen Zhang, Christopher Lu, Animesh Garg, Jakob N. Foerster:
Centralized Model and Exploration Policy for Multi-Agent RL. AAMAS 2022: 1500-1508 - [c4]Christopher Lu, Timon Willi, Christian A. Schröder de Witt, Jakob N. Foerster:
Model-Free Opponent Shaping. ICML 2022: 14398-14411 - [c3]Chris Lu, Jakub Grudzien Kuba, Alistair Letcher, Luke Metz, Christian Schröder de Witt, Jakob N. Foerster:
Discovered Policy Optimisation. NeurIPS 2022 - [c2]Stephen Zhao, Chris Lu, Roger B. Grosse, Jakob N. Foerster:
Proximal Learning With Opponent-Learning Awareness. NeurIPS 2022 - [i7]Christopher Lu, Timon Willi, Christian Schröder de Witt, Jakob N. Foerster:
Model-Free Opponent Shaping. CoRR abs/2205.01447 (2022) - [i6]Chris Lu, Jakub Grudzien Kuba, Alistair Letcher, Luke Metz, Christian Schröder de Witt, Jakob N. Foerster:
Discovered Policy Optimisation. CoRR abs/2210.05639 (2022) - [i5]Stephen Zhao, Chris Lu, Roger Baker Grosse, Jakob Nicolaus Foerster:
Proximal Learning With Opponent-Learning Awareness. CoRR abs/2210.10125 (2022) - [i4]Chris Lu, Timon Willi, Alistair Letcher, Jakob N. Foerster:
Adversarial Cheap Talk. CoRR abs/2211.11030 (2022) - [i3]Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dallibard, Chris Lu, Satinder Singh, Sebastian Flennerhag:
Discovering Evolution Strategies via Meta-Black-Box Optimization. CoRR abs/2211.11260 (2022) - 2021
- [i2]Qizhen Zhang, Christopher Lu, Animesh Garg, Jakob N. Foerster:
Centralized Model and Exploration Policy for Multi-Agent RL. CoRR abs/2107.06434 (2021)
2010 – 2019
- 2019
- [c1]Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros:
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. NeurIPS 2019: 2292-2302 - [i1]Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros:
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. CoRR abs/1902.05546 (2019)
Coauthor Index
aka: Jakob Nicolaus Foerster
aka: Robert Tjarko Lange
aka: Christian A. Schröder de Witt
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