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Policy Learning

2068 directly classified papers

Papers per year

Papers

Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence L4DC 2020
Lambda-Policy Iteration with Randomization for Contractive Models with Infinite Policies: Well-Posedness and Convergence L4DC 2020
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes ICML 2020
GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations RSS 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving RSS 2020
Adaptive Smoothing for Path Integral Control JMLR 2020
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework NIPS 2020
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes NIPS 2020
A Boolean Task Algebra for Reinforcement Learning NIPS 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching CORL 2020
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020
Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020
Unknown mixing times in apprenticeship and reinforcement learning UAI 2020
SVRG for Policy Evaluation with Fewer Gradient Evaluations IJCAI 2020
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search NIPS 2020
Intrinsic Reward Driven Imitation Learning via Generative Model ICML 2020
Learning the Globally Optimal Distributed LQ Regulator L4DC 2020
Production-based Cognitive Models as a Test Suite for Reinforcement Learning Algorithms EMNLP 2020
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems EMNLP 2020
Learning to Generalize for Sequential Decision Making EMNLP 2020
Task-Completion Dialogue Policy Learning via Monte Carlo Tree Search with Dueling Network EMNLP 2020
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies ALT 2020
Causal Imitation Learning With Unobserved Confounders NIPS 2020
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization NIPS 2020