Reinforcement Learning
Inference for Batched Bandits
However, for many real-world problems it is not enough to just minimize regret on a particular problem instance. For example, suppose we have run an online education experiment using a bandit algorithm where we test different types of teaching strategies.
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning
Neural Information Processing Systems http://nips.cc/
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
We demonstrate that the proposed method successfully learns to construct an unseen object conditioned on a single image or multiple views of a target object.
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
Neural Information Processing Systems http://nips.cc/
Supplementary Material: A Boolean Task Algebra For Reinforcement Learning
This results in the large dips in values we observe in the learned extended values.
