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policy gradient

518 papers

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Also known as

SPG A3C CPGA DPG VPG PG

Co-occurring keywords

reinforcement learning (4122) variance reduction (520) deep reinforcement learning (903) continuous control (246) sample efficiency (469) markov decision process (788) policy optimization (630) sample complexity (1158) off-policy learning (227) multi-agent reinforcement learning (534)

Papers

Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024
A large deviations perspective on policy gradient algorithms L4DC 2024
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization AAAI 2024
Actor Prioritized Experience Replay (Abstract Reprint) AAAI 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient NIPS 2024
Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality NIPS 2024
Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024
Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning CVPR 2024
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion EMNLP 2024
Information-Theoretic Opacity-Enforcement in Markov Decision Processes IJCAI 2024
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking NIPS 2024
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality JMLR 2024
Vertical Symbolic Regression via Deep Policy Gradient IJCAI 2024
Enhancing Policy Gradient Algorithms with Search in Imperfect Information Games IJCAI 2024
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers NIPS 2024
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes AAAI 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024
Risk-sensitive control as inference with Rényi divergence NIPS 2024
PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning AAAI 2024
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems AISTATS 2024
Policy Gradient Methods in the Presence of Symmetries and State Abstractions JMLR 2024
Independent Learning in Constrained Markov Potential Games AISTATS 2024
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient AAAI 2024
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective AAAI 2024
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds JMLR 2024