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← Authors

Romain Laroche

28 papers · 2015–2025 · 9 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (9) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)
🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (9) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ’Ž Century Club (28) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ❓ The Questioner ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (93) πŸ”₯ Unstoppable (11)

Conferences

NIPS (9) ICML (7) ICLR (4) EMNLP (2) IJCAI (2) AISTATS (1) CONLL (1) INTERSPEECH (1) JMLR (1)

Top co-authors

Remi Tachet des Combes (11) Hongyu Zang (4) Riashat Islam (4) Xin Li (4) Yoshua Bengio (3) Eva Portelance (2) Xingdi Yuan (2) Raphaël Féraud (2) Michael C. Frank (2) Fabrice Lefèvre (2)

Keywords

offline reinforcement learning (4) value function (3) reinforcement learning (3) policy gradient (2) language acquisition (2) convergence rate (2) shape bia (2) safe policy improvement (2) communicative efficiency (2) neural emergent language (2) safety constraint (2) convergence analysis (1) robotic manipulation (1) markov decision process (1) global convergence (1) self-supervised learning (1) policy optimization (1) sequential decision making (1) risk management (1) finite sample analysis (1)

Papers

Learning Fused State Representations for Control from Multi-View Observations ICML 2025 Rejecting Hallucinated State Targets during Planning ICML 2025 Think Before You Act: Decision Transformers with Working Memory ICML 2024 Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning ICLR 2024 On the Convergence of SARSA with Linear Function Approximation ICML 2023 Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting ICLR 2023 Behavior Prior Representation learning for Offline Reinforcement Learning ICLR 2023 Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets NIPS 2023 Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning NIPS 2023 On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs ICML 2023 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? NIPS 2022 Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning NIPS 2022 Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms AISTATS 2022 Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates NIPS 2021 Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs NIPS 2021 The Emergence of the Shape Bias Results from Communicative Efficiency EMNLP 2021 The Emergence of the Shape Bias Results from Communicative Efficiency CONLL 2021 Learning Dynamic Belief Graphs to Generalize on Text-Based Games NIPS 2020 Reinforcement Learning Framework for Deep Brain Stimulation Study IJCAI 2020 Safe Policy Improvement with Baseline Bootstrapping ICML 2019 Decentralized Exploration in Multi-Armed Bandits ICML 2019 Budgeted Reinforcement Learning in Continuous State Space NIPS 2019 Reinforcement Learning Algorithm Selection ICLR 2018 Hybrid Reward Architecture for Reinforcement Learning NIPS 2017 Reinforcement Learning for Turn-Taking Management in Incremental Spoken Dialogue Systems IJCAI 2016 A Stochastic Model for Computer-Aided Human-Human Dialogue INTERSPEECH 2016 Turn-taking phenomena in incremental dialogue systems EMNLP 2015