Posts about reinforcement learning.
ACL 2018 Highlights: Understanding Representations and Evaluation in More Challenging Settings
This post discusses highlights of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018). It focuses on understanding representations and evaluating in more challenging scenarios.
Highlights of NAACL-HLT 2018: Generalization, Test-of-time, and Dialogue Systems
This post discusses highlights of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018). It focuses on Generalization, the Test-of-Time awards, and Dialogue Systems.
Highlights of NIPS 2016: Adversarial learning, Meta-learning, and more
The Conference on Neural Information Processing Systems (NIPS) is one of the top ML conferences. This post discusses highlights of NIPS 2016 including GANs, the nuts and bolts of ML, RNNs, improvements to classic algorithms, RL, Meta-learning, and Yann LeCun's infamous cake.
Highlights of EMNLP 2016: Dialogue, deep learning, and more
This post discusses highlights of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP 2016). These include work on reinforcement learning, dialogue, sequence-to-sequence models, semantic parsing, natural language generation, and many more.