Transformative models, originally developed for natural language problem...
The reinforcement learning research area contains a wide range of method...
We present a novel dataset named as HPointLoc, specially designed for
ex...
We introduce POGEMA (https://github.com/AIRI-Institute/pogema) a sandbox...
We present the IGLU Gridworld: a reinforcement learning environment for
...
Model-based reinforcement learning (MBRL) allows solving complex tasks i...
Exploration is an essential part of reinforcement learning, which restri...
This work studies object goal navigation task, which involves navigating...
In this paper, we consider the problem of multi-agent navigation in part...
This work is devoted to unresolved problems of Artificial General
Intell...
Currently, deep reinforcement learning (RL) shows impressive results in
...
We present hierarchical Deep Q-Network with Forgetting (HDQF) that took ...
We introduce a new approach to hierarchy formation and task decompositio...
Behavior planning is known to be one of the basic cognitive functions, w...
In this paper we outline the approach of solving special type of navigat...