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conftrace_

action selection

32 papers

Papers

Interactive Text Games: Lookahead Is All You Need! ACL 2025 Visual Test-time Scaling for GUI Agent Grounding ICCV 2025 WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World Model EMNLP 2025 World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning ACL 2025 Controlled maximal variability along with reliable performance in recurrent neural networks NeurIPS 2024 Doubly Mild Generalization for Offline Reinforcement Learning NeurIPS 2024 Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract) AAAI 2024 Offline Reinforcement Learning with Behavioral Supervisor Tuning IJCAI 2024 PRP Rebooted: Advancing the State of the Art in FOND Planning AAAI 2024 Stochastic Q-learning for Large Discrete Action Spaces ICML 2024 A Formal Metareasoning Model of Concurrent Planning and Execution AAAI 2023 An Analysis of the Deliberation and Task Performance of an Active Logic Based Agent (Student Abstract) AAAI 2023 Q-functionals for Value-Based Continuous Control AAAI 2023 Quantum Policy Gradient Algorithm with Optimized Action Decoding ICML 2023 An Online Learning Approach to Sequential User-Centric Selection Problems AAAI 2022 Causal Discovery and Reinforcement Learning: A Synergistic Integration PGM 2022 Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks AAAI 2021 BKT-POMDP: Fast Action Selection for User Skill Modelling over Tasks with Multiple Skills IJCAI 2021 LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021 TempoRL: Learning When to Act ICML 2021 Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning EMNLP 2020 Predicting Strategic Behavior from Free Text (Extended Abstract) IJCAI 2020 Static and Dynamic Values of Computation in MCTS UAI 2020 Learning to Schedule Communication in Multi-agent Reinforcement Learning ICLR 2019 Towards Interpretable Reinforcement Learning Using Attention Augmented Agents NeurIPS 2019