actor-critic algorithm

q-exponential family for policy optimization ICLR 2025 Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning ICML 2025 Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis AISTATS 2025 Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation ICLR 2025 WAVE: Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning L4DC 2025 Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game ICLR 2024 Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient NeurIPS 2024 Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization AISTATS 2024 Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption ICML 2024 A Pragmatic Look at Deep Imitation Learning ACML 2023 Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training IJCAI 2023 StockFormer: Learning Hybrid Trading Machines with Predictive Coding IJCAI 2023 Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward ICLR 2022 Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization AAAI 2022 Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees L4DC 2022 Adversarially Guided Actor-Critic ICLR 2021 Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games ICML 2021 Learning Large Neighborhood Search Policy for Integer Programming NeurIPS 2021 Offline Reinforcement Learning with Pseudometric Learning ICML 2021 Risk-Averse Offline Reinforcement Learning ICLR 2021 You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL CoRL 2021 Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games ICLR 2020 An Efficient Framework for Dense Video Captioning AAAI 2020 Softmax Deep Double Deterministic Policy Gradients NeurIPS 2020 SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards ICLR 2020