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Chris Lu — most-cited papers & profile · AI for Science
← authors
·
overview
Chris Lu
17
papers ·
85
citations ·
7
h-index
University of British Columbia · University of Oxford · Vector Institute
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning To Control Self-assembling Morphologies: A Study Of Generalization Via Modularity
2019 · 45 citations
Discovered Policy Optimisation
2022 · 16 citations
Structured State Space Models for In-Context Reinforcement Learning
2023 · 11 citations
Centralized Model and Exploration Policy for Multi-Agent RL
2021 · 3 citations
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
2023 · 3 citations
Adversarial Cheap Talk
2022 · 2 citations
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
2023 · 2 citations
Artificial Generational Intelligence: Cultural Accumulation In Reinforcement Learning
2024 · 1 citations
Proximal Learning With Opponent-Learning Awareness
2022 · 1 citations
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
2024 · 1 citations
Leading the Pack: N-player Opponent Shaping
2023
Analysing the Sample Complexity of Opponent Shaping
2024
Discovering Temporally-Aware Reinforcement Learning Algorithms
2024
Recurrent Reinforcement Learning with Memoroids
2024
Discovering Minimal Reinforcement Learning Environments
2024
Topics
Meta-RL
Exploration
Multi-Agent
Model-Based RL
Game AI
Policy Gradient
Control
Safe RL
Offline RL