Co-occurring keywords · papers mentioning both
Papers
Learning to Optimize Job Shop Scheduling Under Structural Uncertainty
AAAI 2026
Actor-Critics Can Achieve Optimal Sample Efficiency
ICML 2025
A Model of Place Field Reorganization During Reward Maximization
ICML 2025
A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
ICML 2025
Enhancing Decision-Making of Large Language Models via Actor-Critic
ICML 2025
Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning
ICML 2025
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
ICML 2025
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
ICML 2025
On the Convergence of Continuous Single-timescale Actor-critic
ICML 2025
Reinforce LLM Reasoning through Multi-Agent Reflection
ICML 2025
Relational Object-Centric Actor-Critic
CLeaR 2025
Wasserstein Policy Optimization
ICML 2025
$\rm E(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
ICML 2024
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
ICML 2024
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
ICML 2024
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
ICML 2024
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
NeurIPS 2024
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
ICML 2024
Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study
ICML 2024
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
ICLR 2024
Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning
ICML 2024
Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing
ICML 2024
Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation
ICML 2024
Offline Actor-Critic Reinforcement Learning Scales to Large Models
ICML 2024
On the Second-Order Convergence of Biased Policy Gradient Algorithms
ICML 2024