3 citations · 6 across the 8 of their papers we have counts for
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cs.LG2020★ 3 cited
Proximal Policy Optimization Smoothed Algorithm
Wangshu Zhu, Andre Rosendo
Proximal policy optimization (PPO) has yielded state-of-the-art results in policy search, a subfield of reinforcement learning, with one of its key points being the use of a surrog…
cs.RO2020
CircuitBot: Learning to Survive with Robotic Circuit Drawing
Xianglong Tan, Weijie Lyu, Andre Rosendo
Robots with the ability to actively acquire power from surroundings will be greatly beneficial for long-term autonomy, and to survive in dynamic, uncertain environments. In this wo…
cs.RO2020
Trade-off on Sim2Real Learning: Real-world Learning Faster than Simulations
Jingyi Huang, Yizheng Zhang, Fabio Giardina +1
Deep Reinforcement Learning (DRL) experiments are commonly performed in simulated environments due to the tremendous training sample demands from deep neural networks. In contrast,…