9 citations · 17 across the 12 of their papers we have counts for
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cs.RO2022★ 9 cited
Automatic Parameter Optimization Using Genetic Algorithm in Deep Reinforcement Learning for Robotic Manipulation Tasks
Adarsh Sehgal, Nicholas Ward, Hung La +1
Learning agents can make use of Reinforcement Learning (RL) to decide their actions by using a reward function. However, the learning process is greatly influenced by the elect of…
cs.RO2022★ 1 cited
GA+DDPG+HER: Genetic Algorithm-Based Function Optimizer in Deep Reinforcement Learning for Robotic Manipulation Tasks
Adarsh Sehgal, Nicholas Ward, Hung Manh La +2
Agents can base decisions made using reinforcement learning (RL) on a reward function. The selection of values for the learning algorithm parameters can, nevertheless, have a subst…