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Scalable and transferable learning of algorithms via graph embedding for multi-robot reward collection., , , and . CoRR, (2019)Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning., , , and . NeurIPS, (2022)Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation., , , , , and . CoRR, (2023)Learning Stochastic Optimal Policies via Gradient Descent., , , , , and . CoRR, (2021)Count-based change point detection via multi-output log-Gaussian Cox processes., and . IISE Trans., 52 (9): 998-1013 (2020)Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization., , , and . ICML, OpenReview.net, (2024)RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark., , , , , , , , and . CoRR, (2023)Adaptive teachers for amortized samplers., , , , , , , , , and . CoRR, (2024)Learning to Scale Logits for Temperature-Conditional GFlowNets., , , , , , , and . CoRR, (2023)Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission., and . J. Comput. Graph. Stat., 31 (3): 666-683 (July 2022)