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Toward the Generalization of Reinforcement Learning
Conventional Reinforcement Learning (RL) involves training a unimodal agent on a single, well-defined task, guided by a …
Quentin Gallouédec
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Toward the Generalization of Reinforcement Learning
Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent
The search for a general model that can operate seamlessly across multiple domains remains a key goal in machine learning research. The …
Quentin Gallouédec, Edward Beeching, Clément Romac, Emmanuel Dellandréa
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Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent
Cell-Free Latent Go-Explore
In this paper, we introduce Latent Go-Explore (LGE), a simple and general approach based on the Go-Explore paradigm for exploration in …
Quentin Gallouédec, Emmanuel Dellandréa
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Cell-Free Latent Go-Explore
panda-gym: Open-source goal-conditioned environments for robotic learning
This paper presents panda-gym, a set of Reinforcement Learning (RL) environments for the Franka Emika Panda robot integrated with …
Quentin Gallouédec, Nicolas Cazin, Emmanuel Dellandréa, and Liming Chen
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panda-gym: Open-source goal-conditioned environments for robotic learning