Chris Lu
17 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird 👑 Triple Crown
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Mega-Team · Squad
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Prolific Year · Productive
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The Questioner
💎
Century Club · Bronze
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Keyword Collector
(82)
Venues
Top co-authors
Research topics
Machine Learning
(15)
Reinforcement Learning
(13)
Methods
(13)
Artificial Intelligence
(11)
Learning Types · Machine Learning
(10)
Learning Paradigms · Artificial Intelligence
(7)
Deep Learning
(6)
Core AI
(6)
Optimization & Theory
(5)
Learning Types · Deep Learning
(4)
Learning Paradigms · Machine Learning
(3)
Natural Language Processing
(1)
Robotics
(1)
Application Areas
(1)
Applications
(1)
Keywords
reinforcement learning
(9)
multi-agent reinforcement learning
(2)
open-ended learning
(2)
algorithm discovery
(2)
in-context learning
(2)
function approximation
(2)
parallel training
(2)
evolution strategies
(2)
continuous control
(2)
evolution strategy
(2)
sample efficiency
(1)
policy gradient
(1)
curriculum learning
(1)
natural policy gradient
(1)
zero-shot learning
(1)
game theory
(1)
general agents
(1)
black-box optimization
(1)
procedural generation
(1)
policy learning
(1)
Papers
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
ICLR 2025
Learning mirror maps in policy mirror descent
ICLR 2025
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
NeurIPS 2024
Behaviour Distillation
ICLR 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult?
NeurIPS 2024
Discovering Preference Optimization Algorithms with and for Large Language Models
NeurIPS 2024
Discovering Temporally-Aware Reinforcement Learning Algorithms
ICLR 2024
EvIL: Evolution Strategies for Generalisable Imitation Learning
ICML 2024
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
NeurIPS 2024
Recurrent Reinforcement Learning with Memoroids
NeurIPS 2024
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages
ICML 2024
Adversarial Cheap Talk
ICML 2023
Discovering Evolution Strategies via Meta-Black-Box Optimization
ICLR 2023
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
NeurIPS 2023
Structured State Space Models for In-Context Reinforcement Learning
NeurIPS 2023
Discovered Policy Optimisation
NeurIPS 2022
Proximal Learning With Opponent-Learning Awareness
NeurIPS 2022