Co-occurring keywords · papers mentioning both
value function
(3)
reinforcement learning
(3)
deep reinforcement learning
(3)
model-based reinforcement learning
(2)
count-based conservatism
(1)
discount regularization
(1)
non-stationary reinforcement learning
(1)
discounted return
(1)
stable representation
(1)
bisimulation-based representations
(1)
Papers
Stable Offline Value Function Learning with Bisimulation-based Representations
ICML 2025
Behaviour Distillation
ICLR 2024
The complexity of non-stationary reinforcement learning
ALT 2024
Model-based Offline Reinforcement Learning with Count-based Conservatism
ICML 2023
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
ICML 2023
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning
ICML 2022
Return-Based Contrastive Representation Learning for Reinforcement Learning
ICLR 2021
Reinforcement Learning with Feedback Graphs
NeurIPS 2020
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
NeurIPS 2019