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James Davidson

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Papers (14)

  1. Modulated Policy Hierarchies cs.LG · 2018 · author #3
  2. Learning Latent Dynamics for Planning from Pixels cs.LG · 2018 · author #7
  3. Interpretable Intuitive Physics Model cs.CV · 2018 · author #3
  4. Noise Contrastive Priors for Functional Uncertainty stat.ML · 2018 · author #5
  5. Visual Representations for Semantic Target Driven Navigation cs.CV · 2018 · author #6
  6. PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning cs.AI · 2017 · author #6
  7. TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow cs.LG · 2017 · author #2
  8. Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representations cs.RO · 2017 · author #7
  9. A Brief Study of In-Domain Transfer and Learning from Fewer Samples using A Few Simple Priors cs.AI · 2017 · author #3
  10. Learning Hierarchical Information Flow with Recurrent Neural Modules cs.LG · 2017 · author #3
  11. Discrete Sequential Prediction of Continuous Actions for Deep RL cs.LG · 2017 · author #4
  12. Robust Adversarial Reinforcement Learning cs.LG · 2017 · author #2
  13. Cognitive Mapping and Planning for Visual Navigation cs.CV · 2017 · author #3
  14. Supervision via Competition: Robot Adversaries for Learning Tasks cs.RO · 2016 · author #2

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