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Policy Learning

2068 directly classified papers

Papers per year

Papers

Composing Entropic Policies using Divergence Correction ICML 2019
Learning from a Learner ICML 2019
Safe Policy Improvement with Baseline Bootstrapping 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
Composing Value Functions in Reinforcement Learning ICML 2019
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation 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
Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup RSS 2019
End-To-End Robotic Reinforcement Learning without Reward Engineering RSS 2019
Augmenting Markov Decision Processes with Advising AAAI 2019
Goal-Oriented Dialogue Policy Learning from Failures AAAI 2019
State Abstraction as Compression in Apprenticeship Learning AAAI 2019
Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019
Model-Free IRL Using Maximum Likelihood Estimation AAAI 2019
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments AAAI 2019
Composable Modular Reinforcement Learning AAAI 2019