187 results on '"Spaan, A"'
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2. Bayesian Ensembles for Exploration in Deep Q-Learning.
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3. Scalable Safe Policy Improvement for Factored Multi-Agent MDPs.
4. Diverse Projection Ensembles for Distributional Reinforcement Learning.
5. Reinforcement Learning by Guided Safe Exploration.
6. Scalable Safe Policy Improvement via Monte Carlo Tree Search.
7. CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration.
8. A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics Using Constrained Reinforcement Learning.
9. Abstraction-Refinement for Hierarchical Probabilistic Models.
10. Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems.
11. Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators.
12. Abstraction-Guided Policy Recovery from Expert Demonstrations.
13. AlwaysSafe: Reinforcement Learning without Safety Constraint Violations during Training.
14. WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning.
15. Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems.
16. Decentralized Combinatorial Auctions for Dynamic and Large-Scale Collaborative Vehicle Routing.
17. Improved Power Flow Methods for DC Grids.
18. A Unified Decision-Theoretic Model for Information Gathering and Communication Planning.
19. Safe Policies for Factored Partially Observable Stochastic Games.
20. Structure Learning for Safe Policy Improvement.
21. Safe Policy Improvement with Baseline Bootstrapping in Factored Environments.
22. Improving Offline Value-Function Approximations for POMDPs by Reducing Discount Factors.
23. Putting User Reputation on the Map: Unsupervised Quality Control for Crowdsourced Historical Data.
24. Bootstrapping LPs in Value Iteration for Multi-Objective and Partially Observable MDPs.
25. Fleet Management for Pickup and Delivery Problems with Multiple Locations and Preferences.
26. Capacity-aware Sequential Recommendations.
27. Preallocation and Planning Under Stochastic Resource Constraints.
28. DeLorean: A Storage Layer to Analyze Physical Data at Scale.
29. Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs.
30. Accelerated Vector Pruning for Optimal POMDP Solvers.
31. OMIT: An Instrument to Aid Implementation of a Data Ownership Model in Data Governance
32. Barriers to and Enablers of Affordable Housing Construction: Insights from Construction Industry Professionals
33. Planning Under Uncertainty for Aggregated Electric Vehicle Charging with Renewable Energy Supply.
34. Solving Transition-Independent Multi-Agent MDPs with Sparse Interactions.
35. The MADP Toolbox: An Open-Source Library for Planning and Learning in (Multi-)Agent Systems.
36. Factored Upper Bounds for Multiagent Planning Problems under Uncertainty with Non-Factored Value Functions.
37. Planning under Uncertainty with Weighted State Scenarios.
38. Best-Response Planning of Thermostatically Controlled Loads under Power Constraints.
39. Point-Based POMDP Solving with Factored Value Function Approximation.
40. Approximate solutions for factored Dec-POMDPs with many agents.
41. Modelling Parameter Role on Accuracy of Cardiac Perfusion Quantification.
42. GSMDPs for Multi-Robot Sequential Decision-Making.
43. Exploiting Structure in Cooperative Bayesian Games.
44. Decentralized multi-robot cooperation with auctioned POMDPs.
45. Tree-Based Solution Methods for Multiagent POMDPs with Delayed Communication.
46. Efficient Offline Communication Policies for Factored Multiagent POMDPs.
47. Fuzzy reinforcement learning control for decentralized partially observable Markov decision processes.
48. Scaling Up Optimal Heuristic Search in Dec-POMDPs via Incremental Expansion.
49. QueryPOMDP: POMDP-Based Communication in Multiagent Systems.
50. Active cooperative perception in network robot systems using POMDPs.
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