Ahmed Touati
16 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (7)
🐝
Cross-Pollinator
(9)
🌉
Interdisciplinary Bridge
🧬
Topic Evolution
🚀
Conference Pioneer
❓
The Questioner
🔥
Unstoppable
(8)
💎
Century Club
(16)
Conferences
ICLR (5)
ICML (4)
NIPS (3)
UAI (2)
AISTATS (1)
IJCAI (1)
Top co-authors
Keywords
policy optimization
(2)
value function
(2)
contextual bandit
(2)
variational inference
(2)
representation learning
(2)
policy evaluation
(2)
deep reinforcement learning
(2)
temporal difference learning
(2)
reinforcement learning
(2)
thompson sampling
(2)
reward function
(1)
state representation
(1)
discount factor
(1)
off-policy learning
(1)
convergence guarantee
(1)
markov decision process
(1)
linear convergence
(1)
convex-concave saddle-point
(1)
linear function approximation
(1)
function approximation
(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
Simple Ingredients for Offline Reinforcement Learning
ICML 2024
Score Models for Offline Goal-Conditioned Reinforcement Learning
ICLR 2024
Does Zero-Shot Reinforcement Learning Exist?
ICLR 2023
A State Representation for Diminishing Rewards
NIPS 2023
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
NIPS 2022
Learning One Representation to Optimize All Rewards
NIPS 2021
Stochastic Neural Network with Kronecker Flow
AISTATS 2020
SVRG for Policy Evaluation with Fewer Gradient Evaluations
IJCAI 2020
Stable Policy Optimization via Off-Policy Divergence Regularization
UAI 2020
Randomized Value Functions via Multiplicative Normalizing Flows
UAI 2019
Separating value functions across time-scales
ICML 2019
Modeling the Long Term Future in Model-Based Reinforcement Learning
ICLR 2019
Convergent Tree Backup and Retrace with Function Approximation
ICML 2018