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Policy Gradient Methods

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TitleStatusHype
Stochastic first-order methods for average-reward Markov decision processes—0
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies—0
Stochastic Recursive Momentum for Policy Gradient Methods—0
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function—0
Stochastic Variance Reduction for Policy Gradient Estimation—0
Strategic bidding in freight transport using deep reinforcement learning—0
Strongly-polynomial time and validation analysis of policy gradient methods—0
Symmetric (Optimistic) Natural Policy Gradient for Multi-agent Learning with Parameter Convergence—0
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning—0
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods—0
The wisdom of the crowd: reliable deep reinforcement learning through ensembles of Q-functions—0
Token-Efficient RL for LLM Reasoning—0
Towards Adapting Reinforcement Learning Agents to New Tasks: Insights from Q-Values—0
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis—0
Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework—0
Towards Provable Log Density Policy Gradient—0
Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning—0
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods—0
Transfer Reward Learning for Policy Gradient-Based Text Generation—0
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach—0
Policy Gradient in Partially Observable Environments: Approximation and Convergence—0
Understanding Early Word Learning in Situated Artificial Agents—0
Understanding Grounded Language Learning Agents—0
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings—0
Variance Reduced Domain Randomization for Policy Gradient—0
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