11 citations · 24 across the 6 of their papers we have counts for
Showing 2020 · cs.LGShow all
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cs.LG2020
Enhancing reinforcement learning by a finite reward response filter with a case study in intelligent structural control
Hamid Radmard Rahmani, Carsten Koenke, Marco A. Wiering
In many reinforcement learning (RL) problems, it takes some time until a taken action by the agent reaches its maximum effect on the environment and consequently the agent receives…
cs.LG2020★ 8 cited
Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO
Mario S. Holubar, Marco A. Wiering
In this paper, a novel racing environment for OpenAI Gym is introduced. This environment operates with continuous action- and state-spaces and requires agents to learn to control t…