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Policy Learning

2068 directly classified papers

Papers per year

Papers

Reinforcement Learning Experience Reuse with Policy Residual Representation IJCAI 2019
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains IJCAI 2019
Randomized Adversarial Imitation Learning for Autonomous Driving IJCAI 2019
Knowledge Base Question Answering with Topic Units IJCAI 2019
Steady-State Policy Synthesis for Verifiable Control IJCAI 2019
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies IJCAI 2019
Leveraging Human Guidance for Deep Reinforcement Learning Tasks IJCAI 2019
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration IJCAI 2019
Split Q Learning: Reinforcement Learning with Two-Stream Rewards IJCAI 2019
Learning Factored Markov Decision Processes with Unawareness UAI 2019
A Tighter Analysis of Randomised Policy Iteration UAI 2019
Social Reinforcement Learning to Combat Fake News Spread UAI 2019
P3O: Policy-on Policy-off Policy Optimization UAI 2019
Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019
Co-training for Policy Learning UAI 2019
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning CORL 2019
Learning to Generalize from Sparse and Underspecified Rewards ICML 2019
Understanding the Impact of Entropy on Policy Optimization ICML 2019
Projections for Approximate Policy Iteration Algorithms ICML 2019
Policy Certificates: Towards Accountable Reinforcement Learning ICML 2019
Dead-ends and Secure Exploration in Reinforcement Learning ICML 2019
A Theory of Regularized Markov Decision Processes ICML 2019
An Investigation of Model-Free Planning ICML 2019
Per-Decision Option Discounting ICML 2019
Provably Efficient Maximum Entropy Exploration ICML 2019