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Policy Learning

2068 directly classified papers

Papers per year

Papers

DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm ICML 2023
On the Effectiveness of Offline RL for Dialogue Response Generation ICML 2023
TGRL: An Algorithm for Teacher Guided Reinforcement Learning ICML 2023
Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems ACL 2023
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning ICML 2023
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search ICML 2023
Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction EMNLP 2023
Robust Satisficing MDPs ICML 2023
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning ICML 2023
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization ICML 2023
Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators ICML 2023
Policy Learning for Active Target Tracking over Continuous $SE(3)$ Trajectories L4DC 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction ICML 2023
On Many-Actions Policy Gradient ICML 2023
Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023
Discovering Object-Centric Generalized Value Functions From Pixels ICML 2023
Representation-Driven Reinforcement Learning ICML 2023
Optimistic Planning by Regularized Dynamic Programming ICML 2023
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs ICML 2023
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games JMLR 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems ICML 2023
Quantum Policy Gradient Algorithm with Optimized Action Decoding ICML 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning ICML 2023
Quantile Credit Assignment ICML 2023
A New Challenge in Policy Evaluation AAAI 2023