Co-occurring keywords · papers mentioning both
Papers
Discrete Action On-Policy Learning with Action-Value Critic
AISTATS 2020
Dynamic allocation of limited memory resources in reinforcement learning
NeurIPS 2020
Learning Near Optimal Policies with Low Inherent Bellman Error
ICML 2020
Determinantal Reinforcement Learning
AAAI 2019
Learning value functions with relational state representations for guiding task-and-motion planning
CoRL 2019
Sampling Networks and Aggregate Simulation for Online POMDP Planning
NeurIPS 2019
Context-dependent upper-confidence bounds for directed exploration
NeurIPS 2018
Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation
IJCAI 2018
Smoothed Action Value Functions for Learning Gaussian Policies
ICML 2018
Boosted Fitted Q-Iteration
ICML 2017
Deterministic Policy Gradient Algorithms
ICML 2014
Action-Gap Phenomenon in Reinforcement Learning
NeurIPS 2011
Learning to Agglomerate Superpixel Hierarchies
NeurIPS 2011
Speedy Q-Learning
NeurIPS 2011
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning
JMLR 2007