This paper introduces a novel backup strategy for Monte-Carlo Tree Searc...
Monte-Carlo Tree Search (MCTS) is a class of methods for solving complex...
Reactive motion generation problems are usually solved by computing acti...
Substantial advancements to model-based reinforcement learning algorithm...
Across machine learning, the use of curricula has shown strong empirical...
Monte-Carlo planning and Reinforcement Learning (RL) are essential to
se...
Generalization and reuse of agent behaviour across a variety of learning...
Overestimation of the maximum action-value is a well-known problem that
...
MushroomRL is an open-source Python library developed to simplify the pr...
Reinforcement learning with sparse rewards is still an open challenge.
C...
We consider Monte-Carlo Tree Search (MCTS) applied to Markov Decision
Pr...