Forecasting in Offline Reinforcement Learning for Non-stationary Environments
NeurIPSSpotlight2025
TL;DR
Offline Reinforcement Learning (RL) provides a promising avenue for training policies from pre-collected datasets when gathering additional interaction data is infeasible…
Opening excerpt from the authors’ abstract. source
Read the paper
Topics
offline reinforcement learning reinforcement learning dataset
← All NeurIPS 2025 Spotlight papers · Browse the whole archive