conftrace_

continuous action

21 papers

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Co-occurring keywords

continuous action space (42) reinforcement learning (4352) contextual bandit (381) policy gradient (520) off-policy learning (228) discrete action (5) actor-critic method (34) regret bound (1926) importance sampling (318) policy learning (702)

Papers

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