382 citations · 666 across the 86 of their papers we have counts for
4 papers · 1 filter
Generalized Mean Estimation in Monte-Carlo Tree Search
Tuan Dam, Pascal Klink, Carlo D'Eramo +2
We consider Monte-Carlo Tree Search (MCTS) applied to Markov Decision Processes (MDPs) and Partially Observable MDPs (POMDPs), and the well-known Upper Confidence bound for Trees (…
Model-based Lookahead Reinforcement Learning
Zhang-Wei Hong, Joni Pajarinen, Jan Peters
Model-based Reinforcement Learning (MBRL) allows data-efficient learning which is required in real world applications such as robotics. However, despite the impressive data-efficie…
Information Gathering in Decentralized POMDPs by Policy Graph Improvement
Mikko Lauri, Joni Pajarinen, Jan Peters
Decentralized policies for information gathering are required when multiple autonomous agents are deployed to collect data about a phenomenon of interest without the ability to com…
Compatible Natural Gradient Policy Search
Joni Pajarinen, Hong Linh Thai, Riad Akrour +2
Trust-region methods have yielded state-of-the-art results in policy search. A common approach is to use KL-divergence to bound the region of trust resulting in a natural gradient…