• Curious Hierarchical Actor-Critic Reinforcement Learning
  • Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon
  • Deep Reinforcement Learning for Contact-Rich Skills Using Compliant Movement Primitives (Technion Israel Institute of Technology)
  • Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI (with Richard Sutton)
  • Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL (Google Research)
  • Fast reinforcement learning with generalized policy updates (with David Silver)
  • Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems (PhD thesis, Texas A&M University)
  • Interactive Visualization for Debugging RL
  • Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations
  • Inverse Reinforcement Learning with Natural Language Goals (Amazon)
  • Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication (Alibaba)
  • Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning (Facebook, DeepMind grant)
  • On the Sample Complexity of Reinforcement Learning with Policy Space Generalization (DeepMind)
  • OpenBot: Turning Smartphones into Robots (Intel)
  • Queueing Network Controls via Deep Reinforcement Learning (Cornell University)
  • Reinforcement Learning with Feedback-modulated TD-STDP (UMass Amherst)
  • Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning
  • Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
  • Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion (DeepMind)
  • UNAS: Differentiable Architecture Search Meets Reinforcement Learning (NVIDIA)