Romain Laroche
27 papers · 2015–2025 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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(11)
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(7)
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Venues
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Research topics
Reinforcement Learning
(20)
Methods
(20)
Machine Learning
(18)
Artificial Intelligence
(13)
Core AI
(11)
Learning Types
(9)
Optimization & Theory
(7)
Application Areas
(4)
Applications
(3)
Core Methods
(3)
Learning Paradigms
(3)
Deep Learning
(2)
Robotics
(2)
Capabilities
(2)
Healthcare & Medicine
(1)
Keywords
offline reinforcement learning
(6)
reinforcement learning
(3)
value function
(3)
markov decision process
(2)
off-policy learning
(2)
representation learning
(2)
safety constraint
(2)
convergence rate
(2)
behavior policy
(2)
safe policy improvement
(2)
policy gradient
(2)
global convergence
(1)
robotic manipulation
(1)
convergence analysis
(1)
self-supervised learning
(1)
sequential decision making
(1)
policy optimization
(1)
communicative efficiency
(1)
hierarchical planning
(1)
importance sampling
(1)
Papers
Learning Fused State Representations for Control from Multi-View Observations
ICML 2025
Rejecting Hallucinated State Targets during Planning
ICML 2025
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
ICLR 2024
Think Before You Act: Decision Transformers with Working Memory
ICML 2024
Behavior Prior Representation learning for Offline Reinforcement Learning
ICLR 2023
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
NeurIPS 2023
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
ICLR 2023
On the Convergence of SARSA with Linear Function Approximation
ICML 2023
On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs
ICML 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning
NeurIPS 2023
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms
AISTATS 2022
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning
NeurIPS 2022
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
JMLR 2022
When does return-conditioned supervised learning work for offline reinforcement learning?
NeurIPS 2022
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates
NeurIPS 2021
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
NeurIPS 2021
The Emergence of the Shape Bias Results from Communicative Efficiency
CoNLL 2021
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
NeurIPS 2020
Reinforcement Learning Framework for Deep Brain Stimulation Study
IJCAI 2020
Budgeted Reinforcement Learning in Continuous State Space
NeurIPS 2019
Decentralized Exploration in Multi-Armed Bandits
ICML 2019
Safe Policy Improvement with Baseline Bootstrapping
ICML 2019
Reinforcement Learning Algorithm Selection
ICLR 2018
Hybrid Reward Architecture for Reinforcement Learning
NeurIPS 2017
A Stochastic Model for Computer-Aided Human-Human Dialogue
Interspeech 2016
Reinforcement Learning for Turn-Taking Management in Incremental Spoken Dialogue Systems
IJCAI 2016
Turn-taking phenomena in incremental dialogue systems
EMNLP 2015