Paper-Conference

Model-Based Offline Planning with Trajectory Pruning
Offline reinforcement learning (RL) enables learning policies using pre-collected datasets without environment interaction, which …
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Constraints Penalized Q-Learning for Safe Offline Reinforcement Learning
We study the problem of safe offline reinforcement learning (RL), the goal is to learn a policy that maximizes long-term reward while …
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DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
Optimizing the combustion efficiency of a thermal power generating unit (TPGU) is a highly challenging and critical task in the energy …
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