most citedExploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control

6 citations · 6 across the 2 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…