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Policy Learning

2,076 papers

Papers per year

23
23
216
153
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Papers

Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based summarisation EMNLP 2018
Structured Evolution with Compact Architectures for Scalable Policy Optimization ICML 2018
Path Consistency Learning in Tsallis Entropy Regularized MDPs ICML 2018
Mix & Match Agent Curricula for Reinforcement Learning ICML 2018
Learning to Act in Decentralized Partially Observable MDPs ICML 2018
Beyond the One-Step Greedy Approach in Reinforcement Learning ICML 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator ICML 2018
Fourier Policy Gradients ICML 2018
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning ICML 2018
Addressing Function Approximation Error in Actor-Critic Methods ICML 2018
Clipped Action Policy Gradient ICML 2018
Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning ICML 2018
Feedback-Based Tree Search for Reinforcement Learning ICML 2018
Policy Optimization with Demonstrations ICML 2018
Hierarchical Imitation and Reinforcement Learning ICML 2018
Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling ICML 2018
Configurable Markov Decision Processes ICML 2018
Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018
The Uncertainty Bellman Equation and Exploration ICML 2018
Stochastic Variance-Reduced Policy Gradient ICML 2018
Time Limits in Reinforcement Learning ICML 2018
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018
An Inference-Based Policy Gradient Method for Learning Options ICML 2018
Convergent Tree Backup and Retrace with Function Approximation ICML 2018
Learning to Explore via Meta-Policy Gradient ICML 2018