← Authors

Michael Bowling

44 papers · 2006–2026 · 8 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (19) 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (22) 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (6) 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion πŸ”¬ Deep Specialist (16) 🧬 Topic Evolution πŸ† Grand Slam πŸ’Ž Century Club (43) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (78) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (11)

Conferences

NIPS (16) IJCAI (9) ICML (8) AAAI (6) JMLR (2) AISTATS (1) EACL (1) ICLR (1)

Top co-authors

Marc Lanctot (9) Martin Schmid (6) Joel Veness (6) Neil Burch (6) Marlos C. Machado (5) Martin Zinkevich (4) Michael Johanson (3) Kevin Waugh (3) Marc G. Bellemare (3) Marc Bellemare (3)

Keywords

reinforcement learning (11) game theory (8) counterfactual regret minimization (6) variance reduction (5) extensive-form game (5) nash equilibrium (4) function approximation (4) partial observability (3) extensive games (3) multi-agent learning (3) regret minimization (3) multi-agent system (3) multi-agent reinforcement learning (3) bayesian inference (2) representation learning (2) zero-sum game (2) worst-case performance (2) deep reinforcement learning (2) imperfect information (2) importance sampling (2)

Papers

KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation EACL 2026
Model-Based Exploration in Monitored Markov Decision Processes ICML 2025
A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning NIPS 2024
Learning Not to Regret AAAI 2024
Proper Laplacian Representation Learning ICLR 2024
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning NIPS 2024
Beyond Optimism: Exploration With Partially Observable Rewards NIPS 2024
Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract) IJCAI 2023
Temporal Abstraction in Reinforcement Learning with the Successor Representation JMLR 2023
Settling the Reward Hypothesis ICML 2023
Approximate Exploitability: Learning a Best Response IJCAI 2022
Learning Curricula for Humans: An Empirical Study with Puzzles from The Witness IJCAI 2022
Solving Common-Payoff Games with Approximate Policy Iteration AAAI 2021
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games ICML 2021
Hindsight and Sequential Rationality of Correlated Play AAAI 2021
Low-Variance and Zero-Variance Baselines for Extensive-Form Games ICML 2020
Count-Based Exploration with the Successor Representation AAAI 2020
Marginal Utility for Planning in Continuous or Large Discrete Action Spaces NIPS 2020
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019
Ease-of-Teaching and Language Structure from Emergent Communication NIPS 2019
Solving Large Extensive-Form Games with Strategy Constraints AAAI 2019
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning ICML 2019
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments NIPS 2018
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract) IJCAI 2018
A Laplacian Framework for Option Discovery in Reinforcement Learning ICML 2017
The Forget-me-not Process NIPS 2016
Monte Carlo Tree Search in Continuous Action Spaces with Execution Uncertainty IJCAI 2016
Action Selection for Hammer Shots in Curling IJCAI 2016
Variance Reduction via Antithetic Markov Chains AISTATS 2015
Solving Heads-Up Limit Texas Hold'em IJCAI 2015
The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract) IJCAI 2015
Bayesian Learning of Recursively Factored Environments ICML 2013
Subset Selection of Search Heuristics IJCAI 2013
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning ICML 2013
Sketch-Based Linear Value Function Approximation NIPS 2012
Linear Fitted-Q Iteration with Multiple Reward Functions JMLR 2012
Tractable Objectives for Robust Policy Optimization NIPS 2012
Variance Reduction in Monte-Carlo Tree Search NIPS 2011
Strategy Grafting in Extensive Games NIPS 2009
Monte Carlo Sampling for Regret Minimization in Extensive Games NIPS 2009
Computing Robust Counter-Strategies NIPS 2007
Regret Minimization in Games with Incomplete Information NIPS 2007
Stable Dual Dynamic Programming NIPS 2007
iLSTD: Eligibility Traces and Convergence Analysis NIPS 2006