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Policy Learning

2,076 papers

Papers per year

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216
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Papers

Provably Efficient Maximum Entropy Exploration ICML 2019
Composing Entropic Policies using Divergence Correction ICML 2019
Learning from a Learner ICML 2019
Safe Policy Improvement with Baseline Bootstrapping ICML 2019
POLITEX: Regret Bounds for Policy Iteration using Expert Prediction ICML 2019
Reinforcement Learning in Configurable Continuous Environments ICML 2019
Optimistic Policy Optimization via Multiple Importance Sampling ICML 2019
Fingerprint Policy Optimisation for Robust Reinforcement Learning ICML 2019
Exploration Conscious Reinforcement Learning Revisited ICML 2019
Hessian Aided Policy Gradient ICML 2019
Provably Efficient Imitation Learning from Observation Alone ICML 2019
Action Robust Reinforcement Learning and Applications in Continuous Control ICML 2019
Transfer of Samples in Policy Search via Multiple Importance Sampling ICML 2019
Composing Value Functions in Reinforcement Learning ICML 2019
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation ICML 2019
Non-Monotonic Sequential Text Generation ICML 2019
Imitation Learning from Imperfect Demonstration ICML 2019
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning ICML 2019
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features ICML 2019
Learning Novel Policies For Tasks ICML 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning ICML 2019
Explicitly Coordinated Policy Iteration IJCAI 2019
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent IJCAI 2019
Model-Free Model Reconciliation IJCAI 2019
Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation IJCAI 2019