Tabish Rashid - RankMe

29 papers A* 9A 1Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A fine-grained multi-lingual opinion mining method on social media texts using multi-scale fused features-based adaptive residual convolutional LSTM with attention mechanism. Data Knowl. Eng. D. Kavitha, Ashwin Kumar S, Divya Priya B. A, M. V. Guru Prasadh, Sri Krishna S, Sidh Parakh, Shriram. V, Tabish Rashid
2025	J	`jnl`	Adapting Vision-Language Models for Evaluating World Models. CoRR Mariya Hendriksen, Tabish Rashid, David Bignell, Raluca Georgescu, Abdelhak Lemkhenter, Katja Hofmann, Sam Devlin, Sarah Parisot
2025	J	`jnl`	Fast Autoregressive Video Generation with Diagonal Decoding. CoRR Yang Ye, Junliang Guo, Haoyu Wu, Tianyu He, Tim Pearce, Tabish Rashid, Katja Hofmann, Jiang Bian
2025	A*	`conf`	Scaling Laws for Pre-training Agents and World Models. ICML Tim Pearce, Tabish Rashid, David Bignell, Raluca Georgescu, Sam Devlin, Katja Hofmann
2025	J	`jnl`	World and Human Action Models towards gameplay ideation. Nat. Anssi Kanervisto, David Bignell, Linda Yilin Wen, Martin Grayson, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Tabish Rashid, Tim Pearce, Yuhan Cao, Abdelhak Lemkhenter, Chentian Jiang, Gavin Costello, Gunshi Gupta, Marko Tot, Shu Ishida, Tarun Gupta, Udit Arora, Ryen W. White, Sam Devlin, Cecily Morrison, Katja Hofmann
2024	J	`jnl`	Aligning Agents like Large Language Models. CoRR Adam Jelley, Yuhan Cao, David Bignell, Sam Devlin, Tabish Rashid
2024	J	`jnl`	Scaling Laws for Pre-training Agents and World Models. CoRR Tim Pearce, Tabish Rashid, David Bignell, Raluca Georgescu, Sam Devlin, Katja Hofmann
2023	A*	`conf`	Imitating Human Behaviour with Diffusion Models. ICLR Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
2023	J	`jnl`	Imitating Human Behaviour with Diffusion Models. CoRR Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
2023	J	`jnl`	Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games. CoRR Lukas Schäfer, Logan Jones, Anssi Kanervisto, Yuhan Cao, Tabish Rashid, Raluca Georgescu, David Bignell, Siddhartha Sen, Andrea Treviño Gavito, Sam Devlin
2021	A*	`conf`	Estimating α-Rank by Maximizing Information Gain. AAAI Tabish Rashid, Cheng Zhang, Kamil Ciosek
2021	J	`jnl`	Estimating α-Rank by Maximizing Information Gain. CoRR Tabish Rashid, Cheng Zhang, Kamil Ciosek
2021	A*	`conf`	FACMAC: Factored Multi-Agent Centralised Policy Gradients. NeurIPS Bei Peng, Tabish Rashid, Christian Schröder de Witt, Pierre-Alexandre Kamienny, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson
2021	A*	`conf`	Regularized Softmax Deep Multi-Agent Q-Learning. NeurIPS Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
2021	J	`jnl`	Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning. CoRR Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
2020	J	`jnl`	Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. CoRR Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2020	J	`jnl`	Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. J. Mach. Learn. Res. Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2020	A*	`conf`	Optimistic Exploration even with a Pessimistic Initialisation. ICLR Tabish Rashid, Bei Peng, Wendelin Boehmer, Shimon Whiteson
2020	J	`jnl`	Optimistic Exploration even with a Pessimistic Initialisation. CoRR Tabish Rashid, Bei Peng, Wendelin Böhmer, Shimon Whiteson
2020	A*	`conf`	Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. NeurIPS Tabish Rashid, Gregory Farquhar, Bei Peng, Shimon Whiteson
2020	J	`jnl`	Weighted QMIX: Expanding Monotonic Value Function Factorisation. CoRR Tabish Rashid, Gregory Farquhar, Bei Peng, Shimon Whiteson
2019	J	`jnl`	Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning. CoRR Wendelin Böhmer, Tabish Rashid, Shimon Whiteson
2019	A*	`conf`	MAVEN: Multi-Agent Variational Exploration. NeurIPS Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson
2019	J	`jnl`	MAVEN: Multi-Agent Variational Exploration. CoRR Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson
2019	A	`conf`	The StarCraft Multi-Agent Challenge. AAMAS 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
2019	J	`jnl`	The StarCraft Multi-Agent Challenge. CoRR 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
2018	A*	`conf`	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. ICML Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2018	J	`jnl`	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. CoRR Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2016	—	`conf`	A New Take on Detecting Insider Threats: Exploring the Use of Hidden Markov Models. MIST@CCS Tabish Rashid, Ioannis Agrafiotis, Jason R. C. Nurse