Tabish Rashid

activity

20182024

most citedMonotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

428 citations · 1.1k across the 13 of their papers we have counts for

collaborators

Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 16 cited

Regularized Softmax Deep Multi-Agent $Q$ -Learning

Ling Pan, Tabish Rashid, Bei Peng +2

Tackling overestimation in $Q$ -learning is an important problem that has been extensively studied in single-agent reinforcement learning, but has received comparatively little atte…

cs.MA2021

Estimating $α$ -Rank by Maximizing Information Gain

Tabish Rashid, Cheng Zhang, Kamil Ciosek

Game theory has been increasingly applied in settings where the game is not known outright, but has to be estimated by sampling. For example, meta-games that arise in multi-agent e…

Regularized Softmax Deep Multi-Agent Q-Learning

Estimating α-Rank by Maximizing Information Gain

Regularized Softmax Deep Multi-Agent $Q$ -Learning

Estimating $α$ -Rank by Maximizing Information Gain