Louis Kirsch
11 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (22) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4)
π
Academic Marathon
(6)
π
Interdisciplinary Bridge
π
Grand Slam
π₯
Unstoppable
(5)
π
Century Club
(11)
Conferences
ICLR (3)
ICML (3)
NIPS (3)
AAAI (2)
Top co-authors
Keywords
neural network
(4)
weight sharing
(2)
reinforcement learning
(2)
policy learning
(1)
conditional computation
(1)
value function
(1)
model-based reinforcement learning
(1)
hebbian plasticity
(1)
partially observable environment
(1)
learning algorithm
(1)
goal-conditioned reinforcement learning
(1)
intrinsic reward
(1)
meta reinforcement learning
(1)
general value function
(1)
end-to-end training
(1)
parameter efficiency
(1)
experience replay
(1)
parameter space exploration
(1)
state novelty
(1)
goal-conditioned learning
(1)
Papers
GPTSwarm: Language Agents as Optimizable Graphs
ICML 2024
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
ICML 2024
Discovering Temporally-Aware Reinforcement Learning Algorithms
ICLR 2024
The Benefits of Model-Based Generalization in Reinforcement Learning
ICML 2023
Goal-Conditioned Generators of Deep Policies
AAAI 2023
Introducing Symmetries to Black Box Meta Reinforcement Learning
AAAI 2022
Exploring through Random Curiosity with General Value Functions
NIPS 2022
Parameter-Based Value Functions
ICLR 2021
Meta Learning Backpropagation And Improving It
NIPS 2021
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
ICLR 2020
Modular Networks: Learning to Decompose Neural Computation
NIPS 2018