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• A Survey on Interpretable Reinforcement Learning
  2021 · 15 citations
• Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards
  2020 · 13 citations
• Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
  2020 · 12 citations
• Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains
  2019 · 9 citations
• Differentiable Logic Machines
  2021 · 9 citations
• End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes
  2023 · 4 citations
• Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation
  2019 · 3 citations
• Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis
  2023 · 1 citations
• Rethinking Large Language Model Distillation: A Constrained Markov Decision Process Perspective
  2025
• Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning
  2019
• Hyperparameter Auto-tuning in Self-Supervised Robotic Learning
  2020
• Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning
  2023