Michael L. Littlnan

2010

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Michael L. Littlnan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. George H. John

Papers from Michael L. Littlnan's perspective

Ordered by how strongly the researchers Michael L. Littlnan trusts endorse each paper. Same corpus, a different order for every researcher.

1. When the Best Move Isn't Optimal: Q-learning with Exploration
2. Learning internal representations by error propagation
3. Markov Decision Processes: Discrete Stochastic Dynamic Programming
4. Residual Algorithms: Reinforcement Learning with Function Approximation
5. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
6. Planning and Acting in Partially Observable Stochastic Domains
7. Eligibility Traces for Off-Policy Policy Evaluation
8. ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
9. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• A Generalized Reinforcement-Learning Model : Convergence and Applications (2010)