Yannis Flet-Berliac
9 papers · 2020–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Cross-Pollinator (11) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer
π₯
Unstoppable
(5)
Conferences
NIPS (3)
ICLR (2)
AAAI (1)
EMNLP (1)
IJCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
offline reinforcement learning
(3)
reinforcement learning
(2)
policy gradient
(2)
sample efficiency
(1)
sequential decision-making
(1)
model misspecification
(1)
supervised learning
(1)
batch reinforcement learning
(1)
policy selection
(1)
policy learning
(1)
model alignment
(1)
importance sampling
(1)
value function
(1)
continuous control
(1)
variance reduction
(1)
model-based reinforcement learning
(1)
preference optimization
(1)
off-policy learning
(1)
risk management
(1)
contrastive learning
(1)
Papers
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
EMNLP 2024
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
NIPS 2024
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
NIPS 2023
Model-Based Offline Reinforcement Learning with Local Misspecification
AAAI 2023
Offline policy optimization with eligible actions
UAI 2022
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
NIPS 2022
Learning Value Functions in Deep Policy Gradients using Residual Variance
ICLR 2021
Adversarially Guided Actor-Critic
ICLR 2021
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL
IJCAI 2020