Pengfei Li

activity

20182023

most citedQualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network

26 citations · 55 across the 7 of their papers we have counts for

collaborators

Showing 2019Show all

2 papers · 1 filter

cs.LG2019

Gradient Q $(σ, λ)$ : A Unified Algorithm with Function Approximation for Reinforcement Learning

Long Yang, Yu Zhang, Qian Zheng +2

Full-sampling (e.g., Q-learning) and pure-expectation (e.g., Expected Sarsa) algorithms are efficient and frequently used techniques in reinforcement learning. Q $(σ, λ)$ is the firs…

cs.LG2019★ 2 cited

Policy Optimization with Stochastic Mirror Descent

Long Yang, Yu Zhang, Gang Zheng +5

Improving sample efficiency has been a longstanding goal in reinforcement learning. This paper proposes $VRMPO$ algorithm: a sample efficient policy gradient method with s…

Gradient Q(σ,λ): A Unified Algorithm with Function Approximation for Reinforcement Learning

Policy Optimization with Stochastic Mirror Descent

Gradient Q $(σ, λ)$ : A Unified Algorithm with Function Approximation for Reinforcement Learning