Search Results for author: Quentin Gallouédec

Found 4 papers, 3 papers with code

Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent

no code implementations • 15 Feb 2024 • Quentin Gallouédec, Edward Beeching, Clément Romac, Emmanuel Dellandréa

The search for a general model that can operate seamlessly across multiple domains remains a key goal in machine learning research.

Decision Making Reinforcement Learning (RL)

Paper
Add Code

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning

1 code implementation • 5 Feb 2024 • Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi

As a result, it is usually necessary to reproduce the experiments from scratch, which can be time-consuming and error-prone.

reinforcement-learning Reinforcement Learning (RL)

163

Paper
Code

Cell-Free Latent Go-Explore

1 code implementation • 31 Aug 2022 • Quentin Gallouédec, Emmanuel Dellandréa

In this paper, we introduce Latent Go-Explore (LGE), a simple and general approach based on the Go-Explore paradigm for exploration in reinforcement learning (RL).

Montezuma's Revenge Reinforcement Learning (RL)

Paper
Code

Multi-Goal Reinforcement Learning environments for simulated Franka Emika Panda robot

1 code implementation • 25 Jun 2021 • Quentin Gallouédec, Nicolas Cazin, Emmanuel Dellandréa, Liming Chen

This technical report presents panda-gym, a set Reinforcement Learning (RL) environments for the Franka Emika Panda robot integrated with OpenAI Gym.

Multi-Goal Reinforcement Learning OpenAI Gym +2

446

Paper
Code

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