Leonard Hussenot
13 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π₯ Mega-Team Β· Squad π Grand Slam
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Grand Slam
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Triple Crown
ποΈ
Keyword Collector
(61)
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
β‘
Prolific Year Β· Productive
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Trend Setter
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Reinforcement Learning
(8)
Deep Learning
(7)
Methods
(7)
Artificial Intelligence
(6)
Core AI
(6)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(4)
Optimization & Theory
(4)
Natural Language Processing
(3)
Application Areas
(2)
Applications Β· Reinforcement Learning
(2)
Core Methods
(2)
Resources & Methods
(2)
Applications Β· Natural Language Processing
(1)
Keywords
continuous control
(5)
imitation learning
(5)
reinforcement learning
(4)
policy learning
(3)
rlhf
(2)
reward function
(2)
large language model
(2)
offline reinforcement learning
(2)
knowledge distillation
(1)
reinforcement learning from human feedback
(1)
function approximation
(1)
distribution matching
(1)
adversarial learning
(1)
actor-critic algorithm
(1)
empirical study
(1)
human feedback
(1)
hyperparameter tuning
(1)
parameter optimization
(1)
distribution shift
(1)
sample complexity
(1)
Papers
BOND: Aligning LLMs with Best-of-N Distillation
ICLR 2025
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning
EMNLP 2024
MusicRL: Aligning Music Generation to Human Preferences
ICML 2024
WARM: On the Benefits of Weight Averaged Reward Models
ICML 2024
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
ACL 2023
Continuous Control with Action Quantization from Demonstrations
ICML 2022
Learning Energy Networks with Generalized Fenchel-Young Losses
NeurIPS 2022
Offline Reinforcement Learning as Anti-exploration
AAAI 2022
Hyperparameter Selection for Imitation Learning
ICML 2021
Offline Reinforcement Learning with Pseudometric Learning
ICML 2021
Primal Wasserstein Imitation Learning
ICLR 2021
What Matters for Adversarial Imitation Learning?
NeurIPS 2021
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study
ICLR 2021