Policy Learning

f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences NeurIPS 2023 Fractal Landscapes in Policy Optimization NeurIPS 2023 General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence NeurIPS 2023 Generating Summaries with Controllable Readability Levels EMNLP 2023 Generative Augmented Flow Networks ICLR 2023 Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning NeurIPS 2023 Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator AAAI 2023 Goal-Conditioned Generators of Deep Policies AAAI 2023 Goal-conditioned Offline Planning from Curious Exploration NeurIPS 2023 Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning AAAI 2023 Gradient Informed Proximal Policy Optimization NeurIPS 2023 Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems ICLR 2023 Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement ICLR 2023 Harnessing the Plug-and-Play Controller by Prompting EMNLP 2023 Heuristic Search in Dual Space for Constrained Fixed-Horizon POMDPs with Durative Actions AAAI 2023 Hierarchical Imitation Learning with Vector Quantized Models ICML 2023 Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs ICML 2023 Hierarchical State Abstraction based on Structural Information Principles IJCAI 2023 HIQL: Offline Goal-Conditioned RL with Latent States as Actions NeurIPS 2023 How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization NeurIPS 2023 Human-in-the-loop Abstractive Dialogue Summarization ACL 2023 Human-in-the-Loop Task and Motion Planning for Imitation Learning CoRL 2023 HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System EMNLP 2023 Identifiability and Generalizability in Constrained Inverse Reinforcement Learning ICML 2023 Identification of Blackwell Optimal Policies for Deterministic MDPs AISTATS 2023