conftrace_

actor-critic method

34 papers

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Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) policy gradient (520) policy optimization (657) value function (295) sample efficiency (472) continuous action (21) variance reduction (523) model-based reinforcement learning (415) policy learning (702)

Papers

ACING: Actor-Critic for Instruction Learning in Black-Box LLMs EMNLP 2025
Actor Prioritized Experience Replay (Abstract Reprint) AAAI 2024
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers NIPS 2024
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn NIPS 2024
Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities NIPS 2023
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning NIPS 2023
A Minimal Approach for Natural Language Action Space in Text-based Games EMNLP 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning NIPS 2023
Solving Complex Manipulation Tasks with Model-Assisted Model-Free Reinforcement Learning CORL 2022
Symmetry-Aware Neural Architecture for Embodied Visual Exploration CVPR 2022
CUP: Critic-Guided Policy Reuse NIPS 2022
GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy NIPS 2022
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning AAAI 2022
Direct Advantage Estimation NIPS 2022
Phasic Policy Gradient ICML 2021
Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021
Continuous-time Model-based Reinforcement Learning ICML 2021
Characterizing the Gap Between Actor-Critic and Policy Gradient ICML 2021
Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations IJCAI 2020
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning IJCAI 2020
Actor-Critic Instance Segmentation CVPR 2019
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning ICML 2019
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience AAAI 2019
Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control IJCAI 2019