Russell_S: 36 documents, from the least to the most probable paper
Perplexity score: Title:
10483.441784 Protection Domain Extensions in Mungi
5203.388352 The Mungi Single-Address-Space Operating System
4937.927703 Supporting Persistent Object Systems in a Single Address Space
4689.946836 Mungi: A Distributed Single Address-Space Operating System
4515.221340 Single Address Space Operating Systems
4429.519723 Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
3397.215309 Automatic Symbolic Traffic Scene Analysis Using Belief Networks
3317.197247 Towards Robust Automatic Traffic Scene Analysis in Real-Time
3236.168815 Provably Bounded-Optimal Agents
3119.315743 Issues in Implementing Virtual Memory
2961.307972 Variational MCMC
2848.270474 PNPACK: Computing with probabilities in Java
2491.112402 Experimental Comparisons of Online and Batch Versions of Bagging and Boosting
2485.120133 Image segmentation in video sequences: A probabilistic approach
2483.745146 Object Identification in a Bayesian Context
2410.072632 Stochastic simulation algorithms for dynamic probabilistic networks
2362.660856 Speech Recognition with Dynamic Bayesian Networks
2268.150371 Anytime Sensing, Planning and Action: A Practical Model for Robot Control
2252.808693 Probabilistic Modeling with Bayesian Networks for Automatic Speech Recognition
2193.735870 Compositional Modeling With DPNs
2164.162215 State Abstraction for Programmable Reinforcement Learning Agents
1925.160567 Algorithms for Inverse Reinforcement Learning
1883.604298 Bayesian Q-learning
1881.776727 Policy invariance under reward transformations: Theory and application to reward shaping
1806.320686 Convergence study and improvement of variational methods with MCMC
1799.610532 Control Strategies for a Stochastic Planner
1781.678490 Efficient memory-bounded search methods
1737.269974 PAC-Learnability of Determinate Logic Programs
1632.816524 Approximate Inference for First-Order Probabilistic Languages
1222.392993 Policy Search via Density Estimation
1071.629972 Reinforcement Learning with Hierarchies of Machines
1065.593626 Provably bounded optimal agents
1040.869932 Local Learning in Probabilistic Networks With Hidden Variables
1029.304494 Convergence of Reinforcement Learning With General Function Approximators
981.162212 Approximating Optimal Policies for Partially Observable Stochastic Domains
799.087719 Adaptive Probabilistic Networks with Hidden Variables