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Policy Learning

2,076 papers

Papers per year

23
23
216
153
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Papers

Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations RSS 2020
Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020
Unknown mixing times in apprenticeship and reinforcement learning UAI 2020
No-regret Exploration in Contextual Reinforcement Learning UAI 2020
Dueling Posterior Sampling for Preference-Based Reinforcement Learning UAI 2020
Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward UAI 2020
Stable Policy Optimization via Off-Policy Divergence Regularization UAI 2020
Compositional Plan Vectors NIPS 2019
Robust exploration in linear quadratic reinforcement learning NIPS 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning NIPS 2019
Generalized Off-Policy Actor-Critic NIPS 2019
Adaptive Auxiliary Task Weighting for Reinforcement Learning NIPS 2019
Learning Fairness in Multi-Agent Systems NIPS 2019
When to use parametric models in reinforcement learning? NIPS 2019
The Option Keyboard: Combining Skills in Reinforcement Learning NIPS 2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NIPS 2019
Policy Continuation with Hindsight Inverse Dynamics NIPS 2019
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NIPS 2019
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints NIPS 2019
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NIPS 2019
On the Correctness and Sample Complexity of Inverse Reinforcement Learning NIPS 2019
Learning Robust Options by Conditional Value at Risk Optimization NIPS 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation NIPS 2019
DAC: The Double Actor-Critic Architecture for Learning Options NIPS 2019
Learning Reward Machines for Partially Observable Reinforcement Learning NIPS 2019