| Context-Specific Representation Abstraction for Deep Option Learning. | 0 | 0.34 | 2022 |
| Sar Image Classification Using Fully Connected Conditional Random Fields Combined With Deep Learning And Superpixel Boundary Constraint | 0 | 0.34 | 2021 |
| Learning Hierarchical Teaching Policies for Cooperative Agents | 0 | 0.34 | 2020 |
| On The Role Of Weight Sharing During Deep Option Learning | 0 | 0.34 | 2020 |
| Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning. | 0 | 0.34 | 2019 |
| Learning to Teach in Cooperative Multiagent Reinforcement Learning | 0 | 0.34 | 2018 |
| Learning Abstract Options. | 0 | 0.34 | 2018 |
| Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference. | 10 | 0.48 | 2018 |
| Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations. | 0 | 0.34 | 2017 |
| The Eigenoption-Critic Framework. | 0 | 0.34 | 2017 |
| Eigenoption Discovery through the Deep Successor Representation. | 12 | 0.63 | 2017 |
| Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces. | 1 | 0.36 | 2017 |
| Reports of the AAAI 2016 Spring Symposium Series. | 0 | 0.34 | 2016 |
| Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models. | 2 | 0.37 | 2016 |
| Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture | 9 | 0.64 | 2013 |
| The Infinite Regionalized Policy Representation. | 5 | 0.43 | 2011 |
