Tianpei Yang

activity

20182026

most citedExploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

177 citations · 263 across the 17 of their papers we have counts for

collaborators

Showing 2021Show all

3 papers · 1 filter

hep-ph2021★ 18 cited

New physics in $s \to d$ semileptonic transitions: rare hyperon vs. kaon decays

Li-Sheng Geng, Jorge Martin Camalich, Rui-Xiang Shi

We investigate the potential of rare hyperon decays to probe the short distance structure in the $s \to d ν ν ˉ$ and $s \to d ℓ^{+} ℓ^{-}$ transitions. Hyperon decays into neutrinos…

cs.AI2021★ 177 cited

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

Jianye Hao, Tianpei Yang, Hongyao Tang +5

Deep Reinforcement Learning (DRL) and Deep Multi-agent Reinforcement Learning (MARL) have achieved significant successes across a wide range of domains, including game AI, autonomo…

cs.LG2021

Learning to Shape Rewards using a Game of Two Partners

David Mguni, Taher Jafferjee, Jianhong Wang +9

Reward shaping (RS) is a powerful method in reinforcement learning (RL) for overcoming the problem of sparse or uninformative rewards. However, RS typically relies on manually engi…

New physics in s→d semileptonic transitions: rare hyperon vs. kaon decays

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

Learning to Shape Rewards using a Game of Two Partners

New physics in $s \to d$ semileptonic transitions: rare hyperon vs. kaon decays