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Policy Learning

2068 directly classified papers

Papers per year

Papers

A Divergence Minimization Perspective on Imitation Learning Methods CORL 2019
Diverse Exploration via Conjugate Policies for Policy Gradient Methods AAAI 2019
Explicitly Coordinated Policy Iteration IJCAI 2019
Model-Free Model Reconciliation IJCAI 2019
Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation IJCAI 2019
Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game IJCAI 2019
A Strongly Asymptotically Optimal Agent in General Environments IJCAI 2019
Reinforced Negative Sampling for Recommendation with Exposure Data IJCAI 2019
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space IJCAI 2019
Curriculum Learning for Cumulative Return Maximization IJCAI 2019
Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards IJCAI 2019
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation IJCAI 2019
Interactive Teaching Algorithms for Inverse Reinforcement Learning IJCAI 2019
Monte Carlo Tree Search for Policy Optimization IJCAI 2019
On Principled Entropy Exploration in Policy Optimization IJCAI 2019
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning IJCAI 2019
Structure Learning for Safe Policy Improvement IJCAI 2019
Solving Continual Combinatorial Selection via Deep Reinforcement Learning IJCAI 2019
Adversarial Imitation Learning from Incomplete Demonstrations IJCAI 2019
Imitation Learning from Video by Leveraging Proprioception IJCAI 2019
Sharing Experience in Multitask Reinforcement Learning IJCAI 2019
Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations IJCAI 2019
Transfer of Temporal Logic Formulas in Reinforcement Learning IJCAI 2019
Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control IJCAI 2019
Experience Replay Optimization IJCAI 2019