2 papers
cs.LG2026
Squeezing More from the Stream : Learning Representation Online for Streaming Reinforcement Learning
Nilaksh, Antoine Clavaud, Mathieu Reymond +2
In streaming Reinforcement Learning (RL), transitions are observed and discarded immediately after a single update. While this minimizes resource usage for on-device applications,…
cs.LG2025
CrystalGym: A New Benchmark for Materials Discovery Using Reinforcement Learning
Prashant Govindarajan, Mathieu Reymond, Antoine Clavaud +3
In silico design and optimization of new materials primarily relies on high-accuracy atomic simulators that perform density functional theory (DFT) calculations. While recent works…