6 citations · 6 across the 4 of their papers we have counts for
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cs.LG2023
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
Ruining Zhang, Haoran Han, Maolong Lv +2
Extensive utilization of deep reinforcement learning (DRL) policy networks in diverse continuous control tasks has raised questions regarding performance degradation in expansive s…
cs.LG2023★ 6 cited
Reinforcement Learning by Guided Safe Exploration
Qisong Yang, Thiago D. Simão, Nils Jansen +2
Safety is critical to broadening the application of reinforcement learning (RL). Often, we train RL agents in a controlled environment, such as a laboratory, before deploying them…