Jordi Grau-moya
12 papers · 2012–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge π Academic Marathon (12)
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Conference Polyglot
(6)
π
Academic Marathon
(12)
π
Cross-Pollinator
(14)
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Triple Crown
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Keyword Champion
(2)
π
Century Club
(12)
ποΈ
Keyword Collector
(55)
π
Trend Setter
Conferences
NIPS (4)
ICLR (3)
ICML (2)
ACL (1)
CORL (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(3)
soft q-learning
(2)
game ai
(2)
stochastic optimization
(1)
nonparametric bayesian
(1)
policy optimization
(1)
attention mechanism
(1)
bayesian inference
(1)
action value
(1)
knowledge distillation
(1)
supervised learning
(1)
policy learning
(1)
posterior distribution
(1)
gaussian process
(1)
game playing
(1)
mutual information
(1)
off-policy learning
(1)
conjugate prior
(1)
maximum entropy
(1)
representation learning
(1)
Papers
Amortized Planning with Large-Scale Transformers: A Case Study on Chess
NIPS 2024
Language Modeling Is Compression
ICLR 2024
Learning Universal Predictors
ICML 2024
Memory-Based Meta-Learning on Non-Stationary Distributions
ICML 2023
Self-Predictive Universal AI
NIPS 2023
Randomized Positional Encodings Boost Length Generalization of Transformers
ACL 2023
Neural Networks and the Chomsky Hierarchy
ICLR 2023
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
NIPS 2019
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning
CORL 2019
Soft Q-Learning with Mutual-Information Regularization
ICLR 2019
Balancing Two-Player Stochastic Games with Soft Q-Learning
IJCAI 2018
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
NIPS 2012