Mattie Fellows
6 papers · 2021–2025 · 3 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.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
Venues
Top co-authors
Research topics
Keywords
target network
(3)
bayesian reinforcement learning
(2)
reinforcement learning
(2)
temporal difference learning
(2)
off-policy learning
(2)
epistemic uncertainty
(1)
convergence analysis
(1)
posterior inference
(1)
minimax regret
(1)
bellman operator
(1)
non-stationary learning
(1)
aleatoric uncertainty
(1)
layer normalization
(1)
normalising flow
(1)
deep q-network
(1)
neural network optimizer
(1)
deep exploration
(1)
gradient magnitude
(1)
learning rate annealing
(1)
bayes-optimal policies
(1)
Papers
Simplifying Deep Temporal Difference Learning
ICLR 2025
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps
NeurIPS 2024
Bayesian Exploration Networks
ICML 2024
Refining Minimax Regret for Unsupervised Environment Design
ICML 2024
Why Target Networks Stabilise Temporal Difference Methods
ICML 2023
Bayesian Bellman Operators
NeurIPS 2021