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Kavosh Asadi
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Deep Radial-basis Value Functions for Continuous Control
Lipschitz Lifelong Reinforcement Learning
Smoothness in Reinforcement Learning with Large State and Action Space
Research Statement
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning
State Abstraction as Compression in Apprenticeship Learning
Equivalence between wasserstein and value-aware model-based reinforcement learning
Lipschitz Continuity for Model-based Reinforcement Learning
Mean Actor-Critic
An Alternative Softmax Operator for Reinforcement Learning
Hybrid Code Networks: Practical and Efficient End-to-end Dialog Control with Supervised and Reinforcement Learning
Sample-efficient Deep Reinforcement Learning for Dialog Control
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