policy gradient

TaSIL: Taylor Series Imitation Learning NeurIPS 2022 The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models ICLR 2022 Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods AAAI 2022 Towards an Understanding of Default Policies in Multitask Policy Optimization AISTATS 2022 Transcribing Natural Languages for the Deaf via Neural Editing Programs AAAI 2022 Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design ICLR 2022 Truly Deterministic Policy Optimization NeurIPS 2022 Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions NeurIPS 2022 Tutoring Helps Students Learn Better: Improving Knowledge Distillation for BERT with Tutor Network EMNLP 2022 Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach ICML 2022 Unsupervised Reinforcement Learning in Multiple Environments AAAI 2022 2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition CVPR 2021 Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation AAAI 2021 Ad Headline Generation using Self-Critical Masked Language Model NAACL 2021 A Distributional Approach to Controlled Text Generation ICLR 2021 Adversarial Policy Learning in Two-player Competitive Games ICML 2021 Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control L4DC 2021 A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021 Bayesian Distributional Policy Gradients AAAI 2021 Characterizing the Gap Between Actor-Critic and Policy Gradient ICML 2021 Coordinated Proximal Policy Optimization NeurIPS 2021 Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021 Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021 Deep Bayesian Quadrature Policy Optimization AAAI 2021 Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity NeurIPS 2021