← authors · overview

• A Practical Guide to Multi-Objective Reinforcement Learning and Planning
  2021 · 522 citations
• Meta-Reinforcement Learning by Tracking Task Non-stationarity
  2021 · 11 citations
• Optimizing Energy Management of Smart Grid using Reinforcement Learning aided by Surrogate models built using Physics-informed Neural Networks
  2025 · 6 citations
• Building surrogate models using trajectories of agents trained by Reinforcement Learning
  2025 · 4 citations
• From Parameters to Behaviors: Unsupervised Compression of the Policy Space
  2025 · 2 citations
• A Reinforcement Learning Approach for Optimal Control in Microgrids
  2025 · 1 citations
• An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies
  2019
• Gradient-Aware Model-based Policy Search
  2019
• Risk-Averse Trust Region Optimization for Reward-Volatility Reduction
  2019
• Option Hedging with Risk Averse Reinforcement Learning
  2020
• Quantum Compiling by Deep Reinforcement Learning
  2021
• A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
  2024