Jakob N. Foerster
4 papers · 2017–2024 · 2 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(11)
❓
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Reinforcement Learning
(2)
Learning Types · Machine Learning
(2)
Methods
(2)
Optimization & Theory
(2)
Architectures
(1)
Core AI
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
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)
non-stationary learning
(1)
target network
(1)
learned optimizer
(1)
neural network optimizer
(1)
affine transformation
(1)
Papers
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps
NeurIPS 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult?
NeurIPS 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
NeurIPS 2024
Input Switched Affine Networks: An RNN Architecture Designed for Interpretability
ICML 2017