Jakob N. Foerster
4 papers · 2017–2024 · 2 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π Conference Polyglot (2) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Academic Marathon (7)
π
Cross-Pollinator
(3)
β
The Questioner
Conferences
NIPS (3)
ICML (1)
Top co-authors
Keywords
reinforcement learning
(2)
offline reinforcement learning
(1)
linear methods
(1)
model-based reinforcement learning
(1)
value function approximation
(1)
value estimation
(1)
text modeling
(1)
recurrent neural network
(1)
learned optimization
(1)
update rule
(1)
plasticity loss
(1)
world model
(1)
value overestimation
(1)
edge-of-reach problem
(1)
dynamics model
(1)
target network
(1)
learned optimizer
(1)
neural network optimizer
(1)
affine transformation
(1)
gradient magnitude
(1)
Papers
Can Learned Optimization Make Reinforcement Learning Less Difficult?
NIPS 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
NIPS 2024
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps
NIPS 2024
Input Switched Affine Networks: An RNN Architecture Designed for Interpretability
ICML 2017