Search Results for author: Artem Zholus

Found 10 papers, 5 papers with code

IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents

1 code implementation31 May 2022 Artem Zholus, Alexey Skrynnik, Shrestha Mohanty, Zoya Volovikova, Julia Kiseleva, Artur Szlam, Marc-Alexandre Coté, Aleksandr I. Panov

We present the IGLU Gridworld: a reinforcement learning environment for building and evaluating language conditioned embodied agents in a scalable way.

reinforcement-learning Reinforcement Learning (RL)

Continuous Histogram Loss: Beyond Neural Similarity

no code implementations6 Apr 2020 Artem Zholus, Evgeny Putin

Similarity learning has gained a lot of attention from researches in recent years and tons of successful approaches have been recently proposed.

Data Visualization Representation Learning

Multitask Adaptation by Retrospective Exploration with Learned World Models

no code implementations25 Oct 2021 Artem Zholus, Aleksandr I. Panov

Model-based reinforcement learning (MBRL) allows solving complex tasks in a sample-efficient manner.

Model-based Reinforcement Learning

Mastering Memory Tasks with World Models

no code implementations7 Mar 2024 Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar

Through a diverse set of illustrative tasks, we systematically demonstrate that R2I not only establishes a new state-of-the-art for challenging memory and credit assignment RL tasks, such as BSuite and POPGym, but also showcases superhuman performance in the complex memory domain of Memory Maze.

Model-based Reinforcement Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.