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Journal Articles
- 2020
[j1]Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson:
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. J. Mach. Learn. Res. 21: 178:1-178:51 (2020)
Conference and Workshop Papers
- 2023
- [c10]Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin:
Imitating Human Behaviour with Diffusion Models. ICLR 2023 - 2021
- [c9]Tabish Rashid, Cheng Zhang, Kamil Ciosek:
Estimating α-Rank by Maximizing Information Gain. AAAI 2021: 5673-5681 - [c8]Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson:
Regularized Softmax Deep Multi-Agent Q-Learning. NeurIPS 2021: 1365-1377 - [c7]Bei Peng, Tabish Rashid, Christian Schröder de Witt, Pierre-Alexandre Kamienny, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson:
FACMAC: Factored Multi-Agent Centralised Policy Gradients. NeurIPS 2021: 12208-12221 - 2020
- [c6]Tabish Rashid, Bei Peng, Wendelin Boehmer, Shimon Whiteson:
Optimistic Exploration even with a Pessimistic Initialisation. ICLR 2020 - [c5]Tabish Rashid, Gregory Farquhar, Bei Peng, Shimon Whiteson:
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. NeurIPS 2020 - 2019
- [c4]Mikayel Samvelyan, Tabish Rashid, Christian Schröder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson:
The StarCraft Multi-Agent Challenge. AAMAS 2019: 2186-2188 - [c3]Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson:
MAVEN: Multi-Agent Variational Exploration. NeurIPS 2019: 7611-7622 - 2018
- [c2]Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson:
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. ICML 2018: 4292-4301 - 2016
- [c1]Tabish Rashid, Ioannis Agrafiotis, Jason R. C. Nurse:
A New Take on Detecting Insider Threats: Exploring the Use of Hidden Markov Models. MIST@CCS 2016: 47-56
Informal and Other Publications
- 2024
- [i12]Adam Jelley, Yuhan Cao, David Bignell, Sam Devlin, Tabish Rashid:
Aligning Agents like Large Language Models. CoRR abs/2406.04208 (2024) - 2023
- [i11]Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun
, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin:
Imitating Human Behaviour with Diffusion Models. CoRR abs/2301.10677 (2023) - [i10]Lukas Schäfer, Logan Jones, Anssi Kanervisto, Yuhan Cao, Tabish Rashid, Raluca Georgescu, David Bignell, Siddhartha Sen, Andrea Treviño Gavito, Sam Devlin:
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games. CoRR abs/2312.02312 (2023) - 2021
- [i9]Tabish Rashid, Cheng Zhang, Kamil Ciosek:
Estimating α-Rank by Maximizing Information Gain. CoRR abs/2101.09178 (2021) - [i8]Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson:
Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning. CoRR abs/2103.11883 (2021) - 2020
- [i7]Tabish Rashid, Bei Peng, Wendelin Böhmer, Shimon Whiteson:
Optimistic Exploration even with a Pessimistic Initialisation. CoRR abs/2002.12174 (2020) - [i6]Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson:
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. CoRR abs/2003.08839 (2020) - [i5]Tabish Rashid, Gregory Farquhar, Bei Peng, Shimon Whiteson:
Weighted QMIX: Expanding Monotonic Value Function Factorisation. CoRR abs/2006.10800 (2020) - 2019
- [i4]Mikayel Samvelyan, Tabish Rashid, Christian Schröder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson:
The StarCraft Multi-Agent Challenge. CoRR abs/1902.04043 (2019) - [i3]Wendelin Böhmer, Tabish Rashid, Shimon Whiteson:
Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning. CoRR abs/1906.02138 (2019) - [i2]Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson:
MAVEN: Multi-Agent Variational Exploration. CoRR abs/1910.07483 (2019) - 2018
- [i1]Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson:
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. CoRR abs/1803.11485 (2018)
Coauthor Index
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