"WHAT ARE MAJOR REINFORCEMENT LEARNING ACHIEVEMENTS & PAPERS FROM 2018?"
Reference:
https://www.topbots.com/most-important-ai-reinforcement-learning-research/#ai-rl-paper-2018-10
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- Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
- IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
- Temporal Difference Models: Model-Free Deep RL for Model-Based Control
- Addressing Function Approximation Error in Actor-Critic Methods
- Learning by Playing – Solving Sparse Reward Tasks from Scratch
- Hierarchical Imitation and Reinforcement Learning
- Unsupervised Predictive Memory in a Goal-Directed Agent
- Data-Efficient Hierarchical Reinforcement Learning
- Visual Reinforcement Learning with Imagined Goals
- Horizon: Facebook’s Open Source Applied Reinforcement Learning Platform
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