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Michael Bowling

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

Achievements

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+14 more ↓ 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (22) 🌍 Conference Polyglot (7)
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