6 citations · 6 across the 4 of their papers we have counts for
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cs.LG2021
Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration
Zhaorun Chen, Binhao Chen, Shenghan Xie +4
In complex environments with high dimension, training a reinforcement learning (RL) model from scratch often suffers from lengthy and tedious collection of agent-environment intera…
cs.RO2021
POAR: Efficient Policy Optimization via Online Abstract State Representation Learning
Zhaorun Chen, Siqi Fan, Yuan Tan +6
While the rapid progress of deep learning fuels end-to-end reinforcement learning (RL), direct application, especially in high-dimensional space like robotic scenarios still suffer…