Leonard Hussenot
13 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (7)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🤝
Dynamic Duo
(10)
👑
Triple Crown
🏆
Grand Slam
👥
Mega-Team
(20)
❓
The Questioner
(2)
💎
Century Club
(13)
⚡
Prolific Year
(5)
🔥
Unstoppable
(5)
Conferences
ICML (5)
ICLR (3)
NIPS (2)
AAAI (1)
ACL (1)
EMNLP (1)
Top co-authors
Keywords
imitation learning
(4)
continuous control
(3)
policy learning
(3)
offline reinforcement learning
(2)
reinforcement learning
(2)
variational autoencoder
(1)
multilabel classification
(1)
sample complexity
(1)
hyperparameter tuning
(1)
policy regularization
(1)
parameter optimization
(1)
actor-critic algorithm
(1)
bisimulation metric
(1)
energy-based model
(1)
exploration bonus
(1)
expert demonstration
(1)
reward function
(1)
adversarial imitation learning
(1)
function approximation
(1)
adversarial learning
(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
Learning Energy Networks with Generalized Fenchel-Young Losses
NIPS 2022
Offline Reinforcement Learning as Anti-exploration
AAAI 2022
Continuous Control with Action Quantization from Demonstrations
ICML 2022
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study
ICLR 2021
Primal Wasserstein Imitation Learning
ICLR 2021
What Matters for Adversarial Imitation Learning?
NIPS 2021
Offline Reinforcement Learning with Pseudometric Learning
ICML 2021
Hyperparameter Selection for Imitation Learning
ICML 2021