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Planning

3112 directly classified papers

Papers per year

Papers

Set-membership Belief State-based Reinforcement Learning for POMDPs ICML 2023
Adaptive Online Replanning with Diffusion Models NIPS 2023
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions NIPS 2023
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings ICML 2023
LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control ICML 2023
Monitoring Arithmetic Temporal Properties on Finite Traces AAAI 2023
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents ICML 2023
Retrosynthetic Planning with Dual Value Networks ICML 2023
Analyzing and Improving the Use of the FastMap Embedding in Pathfinding Tasks AAAI 2023
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners ICML 2023
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates NIPS 2023
Efficient Quantum Algorithms for Quantum Optimal Control ICML 2023
Reference-Based POMDPs NIPS 2023
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt NIPS 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems NIPS 2023
Hierarchical Imitation Learning with Vector Quantized Models ICML 2023
Symmetry-Aware Robot Design with Structured Subgroups ICML 2023
ReCode: Robustness Evaluation of Code Generation Models ACL 2023
Layered State Discovery for Incremental Autonomous Exploration ICML 2023
Thinker: Learning to Plan and Act NIPS 2023
Periodic Multi-Agent Path Planning AAAI 2023
Learning to Initiate and Reason in Event-Driven Cascading Processes ICML 2023
Learning to See the Physical World AAAI 2023
POMDP Planning for Object Search in Partially Unknown Environment NIPS 2023
Improving Long-Horizon Imitation through Instruction Prediction AAAI 2023