Chris Lu
17 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Cross-Pollinator (3) π Conference Polyglot (3) π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (5)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(33)
π
Triple Crown
π₯
Mega-Team
(21)
β‘
Prolific Year
(9)
β
The Questioner
π
Century Club
(17)
ποΈ
Keyword Collector
(51)
Conferences
NIPS (9)
ICLR (5)
ICML (3)
Top co-authors
Keywords
reinforcement learning
(6)
parallel training
(2)
function approximation
(2)
algorithm discovery
(2)
in-context learning
(2)
multi-agent reinforcement learning
(2)
game theory
(1)
policy optimization
(1)
sequence modeling
(1)
state space model
(1)
preference optimization
(1)
policy learning
(1)
reinforcement learning from human feedback
(1)
partially observable markov decision process
(1)
curriculum learning
(1)
adversarial attack
(1)
logistic loss
(1)
exponential loss
(1)
offline learning
(1)
policy gradient
(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
EvIL: Evolution Strategies for Generalisable Imitation Learning
ICML 2024
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
NIPS 2024
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
NIPS 2024
Discovering Preference Optimization Algorithms with and for Large Language Models
NIPS 2024
Behaviour Distillation
ICLR 2024
Discovering Temporally-Aware Reinforcement Learning Algorithms
ICLR 2024
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages
ICML 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult?
NIPS 2024
Recurrent Reinforcement Learning with Memoroids
NIPS 2024
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
NIPS 2023
Discovering Evolution Strategies via Meta-Black-Box Optimization
ICLR 2023
Adversarial Cheap Talk
ICML 2023
Structured State Space Models for In-Context Reinforcement Learning
NIPS 2023
Discovered Policy Optimisation
NIPS 2022
Proximal Learning With Opponent-Learning Awareness
NIPS 2022