Remi Tachet des Combes
20 papers · 2019–2023 · 7 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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Research topics
Machine Learning
(18)
Reinforcement Learning
(12)
Learning Types
(12)
Methods
(12)
Optimization & Theory
(8)
Artificial Intelligence
(7)
Core Methods
(6)
Core AI
(5)
Deep Learning
(4)
Application Areas
(3)
Applications
(3)
Architectures
(2)
Learning Paradigms
(2)
Healthcare & Medicine
(1)
Clinical
(1)
Keywords
representation learning
(5)
offline reinforcement learning
(4)
domain adaptation
(2)
reinforcement learning
(2)
convergence rate
(2)
policy gradient
(2)
value function
(2)
variational inference
(1)
policy optimization
(1)
continual learning
(1)
image generation
(1)
robotic manipulation
(1)
visual observation
(1)
contrastive learning
(1)
embedding learning
(1)
hierarchical classification
(1)
adversarial learning
(1)
global convergence
(1)
convergence analysis
(1)
learning theory
(1)
Papers
Behavior Prior Representation learning for Offline Reinforcement Learning
ICLR 2023
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
ICLR 2023
Learning Structured Representations by Embedding Class Hierarchy
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
Principled Offline RL in the Presence of Rich Exogenous Information
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
Adversarial score matching and improved sampling for image generation
ICLR 2021
A single gradient step finds adversarial examples on random two-layers neural networks
NeurIPS 2021
Decomposed Mutual Information Estimation for Contrastive Representation Learning
ICML 2021
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates
NeurIPS 2021
Increasing Robustness to Spurious Correlations using Forgettable Examples
EACL 2021
Deep Reinforcement and InfoMax Learning
NeurIPS 2020
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
NeurIPS 2020
Reinforcement Learning Framework for Deep Brain Stimulation Study
IJCAI 2020
On Learning Invariant Representations for Domain Adaptation
ICML 2019
Safe Policy Improvement with Baseline Bootstrapping
ICML 2019