continuous action

ACING: Actor-Critic for Instruction Learning in Black-Box LLMs EMNLP 2025 Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy ICCV 2025 Planning from Point Clouds over Continuous Actions for Multi-object Rearrangement CoRL 2025 A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees AAAI 2024 Grounding Multimodal Large Language Models in Actions NeurIPS 2024 On Many-Actions Policy Gradient ICML 2023 Quasi-optimal Reinforcement Learning with Continuous Actions ICLR 2023 Reinforcement Learning for Topic Models ACL 2023 Socially Optimal Non-discriminatory Restrictions for Continuous-Action Games AAAI 2023 Tight Performance Guarantees of Imitator Policies with Continuous Actions AAAI 2023 Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions NeurIPS 2022 Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery AAAI 2021 Value Iteration in Continuous Actions, States and Time ICML 2021 Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting JMLR 2020 Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies NeurIPS 2020 Efficient Contextual Bandits with Continuous Actions NeurIPS 2020 RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning NeurIPS 2020 Contextual bandits with continuous actions: Smoothing, zooming, and adapting COLT 2019 Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient AAAI 2019 Semi-Parametric Efficient Policy Learning with Continuous Actions NeurIPS 2019 An Off-policy Policy Gradient Theorem Using Emphatic Weightings NeurIPS 2018 Deterministic Policy Gradient Algorithms ICML 2014 Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NeurIPS 2007