Ahmed Touati
16 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(10)
Artificial Intelligence
(9)
Reinforcement Learning
(9)
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Core AI
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Deep Learning
(6)
Learning Paradigms
(5)
Learning Types Β· Machine Learning
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Models
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Optimization & Theory
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Learning Types Β· Deep Learning
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Application Areas
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Applications
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Bayesian & Probabilistic
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Keywords
representation learning
(3)
variational inference
(3)
policy evaluation
(2)
deep reinforcement learning
(2)
reinforcement learning
(2)
imitation learning
(2)
contextual bandit
(2)
thompson sampling
(2)
unsupervised reinforcement learning
(2)
temporal difference learning
(2)
value function
(2)
policy optimization
(2)
markov decision process
(1)
flow matching
(1)
feature matching
(1)
function approximation
(1)
offline reinforcement learning
(1)
state representation
(1)
bellman equation
(1)
motion capture
(1)
Papers
Temporal Difference Flows
ICML 2025
Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models
ICLR 2025
Fast Imitation via Behavior Foundation Models
ICLR 2024
Score Models for Offline Goal-Conditioned Reinforcement Learning
ICLR 2024
Simple Ingredients for Offline Reinforcement Learning
ICML 2024
A State Representation for Diminishing Rewards
NeurIPS 2023
Does Zero-Shot Reinforcement Learning Exist?
ICLR 2023
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
NeurIPS 2022
Learning One Representation to Optimize All Rewards
NeurIPS 2021
Stable Policy Optimization via Off-Policy Divergence Regularization
UAI 2020
Stochastic Neural Network with Kronecker Flow
AISTATS 2020
SVRG for Policy Evaluation with Fewer Gradient Evaluations
IJCAI 2020
Modeling the Long Term Future in Model-Based Reinforcement Learning
ICLR 2019
Randomized Value Functions via Multiplicative Normalizing Flows
UAI 2019
Separating value functions across time-scales
ICML 2019
Convergent Tree Backup and Retrace with Function Approximation
ICML 2018