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Matthew E. Taylor โ most-cited papers & profile ยท Reinforcement Learning
โ authors
ยท
overview
Matthew E. Taylor
41
papers ยท
414
citations ยท
43
h-index
Turing Institute ยท Intel (United States) ยท University of Alberta ยท Alberta Medical Association
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
2020 ยท 228 citations
Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer
2016 ยท 32 citations
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning
2019 ยท 29 citations
Pre-training Neural Networks with Human Demonstrations for Deep Reinforcement Learning
2017 ยท 26 citations
Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition
2019 ยท 15 citations
Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement Learning and Multi-task Reinforcement Learning
2017 ยท 13 citations
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems
2021 ยท 10 citations
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL
2018 ยท 7 citations
Maximum Reward Formulation In Reinforcement Learning
2020 ยท 6 citations
Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning
2019 ยท 5 citations
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman
2019 ยท 4 citations
Useful Policy Invariant Shaping from Arbitrary Advice
2020 ยท 3 citations
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging
2021 ยท 3 citations
Model-Invariant State Abstractions for Model-Based Reinforcement Learning
2021 ยท 3 citations
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning
2023 ยท 3 citations
Top co-authors
Sriram Ganapathi Subramanian
ยท 5
Bilal Kartal
ยท 4
Pablo Hernรกndez-Leal
ยท 4
Sai Krishna Gottipati
ยท 4
Srijita Das
ยท 4
Bram Grooten
ยท 3
Calarina Muslimani
ยท 3
Decebal Constantin Mocanu
ยท 3
Mark Crowley
ยท 3
Michael Bowling
ยท 3
Mykola Pechenizkiy
ยท 3
Peter Stone
ยท 3
Topics
Value-Based
Multi-Agent
Meta-RL
Game AI
Model-Based RL
Exploration
RLHF & Alignment
Policy Gradient
Safe RL
Offline RL