← Authors

Michael L. Littman

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

Achievements

🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (41) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (9) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (19) 🌟 Keyword Trendsetter Combo (4) πŸ† Keyword Champion 🌱 Topic Pioneer πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (99) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ’Ž 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