Challenges of real-world reinforcement learning: definitions, benchmarks and analysis.
Mach. Learn., 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models.
CoRR, 2021
Balancing Constraints and Rewards with Meta-Gradient D4PG.
Proceedings of the 9th International Conference on Learning Representations, 2021
Neural Rate Control for Video Encoding using Imitation Learning.
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CoRR, 2020
An empirical investigation of the challenges of real-world reinforcement learning.
CoRR, 2020
A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Robust Reinforcement Learning for Continuous Control with Model Misspecification.
Proceedings of the 8th International Conference on Learning Representations, 2020
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control.
Proceedings of the 8th International Conference on Learning Representations, 2020
Improved Knowledge Distillation via Teacher Assistant.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Robust Reinforcement Learning for Continuous Control with Model Misspecification.
CoRR, 2019
An Extended Relevance Model for Session Search.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Shallow Updates for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Actively Learning to Attract Followers on Twitter.
CoRR, 2015