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← Authors

Michael L. Littman

22 papers · 2005–2024 · 7 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+11 more ↓ 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (19)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (19) 🌟 Keyword Trendsetter Combo (4) 🏆 Keyword Champion 🌱 Topic Pioneer 🚀 Conference Pioneer 🗃️ Keyword Collector (99) ⚡ Prolific Year (5) 📈 Trend Setter 💎 Century Club (22)

Conferences

NIPS (7) AAAI (5) IJCAI (3) JMLR (3) ICML (2) ACL (1) RSS (1)

Top co-authors

Kavosh Asadi (5) David Abel (4) Alexander L. Strehl (3) George Konidaris (3) James MacGlashan (2) Anna Harutyunyan (2) Doina Precup (2) Bethany R. Leffler (2) Lihong Li (2) Omer Gottesman (2)

Keywords

reinforcement learning (8) markov decision process (5) value function (3) sample complexity (3) optimal policy (3) model-based reinforcement learning (3) temporal difference learning (2) deep reinforcement learning (2) task specification (2) lifelong reinforcement learning (2) model-based learning (2) state representation (2) markov reward (2) function approximation (1) information bottleneck (1) state abstraction (1) bayesian inference (1) markov decision processes (1) model probing (1) transfer learning (1)

Papers

Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NIPS 2024 On the (In)Tractability of Reinforcement Learning for LTL Objectives IJCAI 2022 On the Expressivity of Markov Reward (Extended Abstract) IJCAI 2022 Faster Deep Reinforcement Learning with Slower Online Network NIPS 2022 Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex NIPS 2022 Model-based Lifelong Reinforcement Learning with Bayesian Exploration NIPS 2022 Deep Radial-Basis Value Functions for Continuous Control AAAI 2021 On the Expressivity of Markov Reward NIPS 2021 Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract) AAAI 2021 Lipschitz Lifelong Reinforcement Learning AAAI 2021 Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning JMLR 2020 Context-Driven Satirical News Generation ACL 2020 Theory of Minds: Understanding Behavior in Groups through Inverse Planning AAAI 2019 State Abstraction as Compression in Apprenticeship Learning AAAI 2019 Interactive Learning from Policy-Dependent Human Feedback ICML 2017 An Alternative Softmax Operator for Reinforcement Learning ICML 2017 Between Imitation and Intention Learning IJCAI 2015 Reinforcement Learning in Finite MDPs: PAC Analysis JMLR 2009 Provably Efficient Learning with Typed Parametric Models JMLR 2009 Multi-resolution Exploration in Continuous Spaces NIPS 2008 Online Linear Regression and Its Application to Model-Based Reinforcement Learning NIPS 2007 Efficient Exploration With Latent Structure RSS 2005