Policy Learning

Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States JMLR 2022 Skill-based Model-based Reinforcement Learning CoRL 2022 Smoothing Advantage Learning AAAI 2022 System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy AISTATS 2022 TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification NeurIPS 2022 TaSIL: Taylor Series Imitation Learning NeurIPS 2022 Teacher Forcing Recovers Reward Functions for Text Generation NeurIPS 2022 The Geometry of Robust Value Functions ICML 2022 The Importance of Non-Markovianity in Maximum State Entropy Exploration ICML 2022 Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods AAAI 2022 The Role of Baselines in Policy Gradient Optimization NeurIPS 2022 “Think Before You Speak”: Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs IJCAI 2022 Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret NeurIPS 2022 Towards an Understanding of Default Policies in Multitask Policy Optimization AISTATS 2022 Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble IJCAI 2022 Towards painless policy optimization for constrained MDPs UAI 2022 Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning CoRL 2022 Training Transition Policies via Distribution Matching for Complex Tasks ICLR 2022 Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design ICLR 2022 Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation AISTATS 2022 Truly Deterministic Policy Optimization NeurIPS 2022 Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning ICLR 2022 Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions NeurIPS 2022 Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach ICML 2022 Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning IJCAI 2022