policy gradient

Safe Reinforcement Learning via Probabilistic Logic Shields IJCAI 2023 Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks NeurIPS 2023 Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation AAAI 2023 Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023 Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning EMNLP 2023 Solving multi-model MDPs by coordinate ascent and dynamic programming UAI 2023 Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies ICML 2023 The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure AAAI 2023 Train Hard, Fight Easy: Robust Meta Reinforcement Learning NeurIPS 2023 Variance-Reduced Conservative Policy Iteration ALT 2023 Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective L4DC 2022 Actor-Critic based Improper Reinforcement Learning ICML 2022 A general class of surrogate functions for stable and efficient reinforcement learning AISTATS 2022 A general sample complexity analysis of vanilla policy gradient AISTATS 2022 Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient NeurIPS 2022 An Alternate Policy Gradient Estimator for Softmax Policies AISTATS 2022 Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems JMLR 2022 A Temporal-Difference Approach to Policy Gradient Estimation ICML 2022 Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms AISTATS 2022 Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning ICML 2022 Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation NAACL 2022 Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments ICML 2022 Continuous MDP Homomorphisms and Homomorphic Policy Gradient NeurIPS 2022 Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime ICML 2022 Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL ICLR 2022