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• Investigating practical linear temporal difference learning
  2016 · 16 citations
• A Greedy Approach to Adapting the Trace Parameter for Temporal Difference Learning
  2016 · 14 citations
• Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study
  2019 · 9 citations
• Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks
  2020 · 8 citations
• Planning with Expectation Models
  2019 · 5 citations
• A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
  2021 · 3 citations
• Emphatic Algorithms for Deep Reinforcement Learning
  2021 · 3 citations
• Context-Dependent Upper-Confidence Bounds for Directed Exploration
  2018 · 2 citations
• The Cross-environment Hyperparameter Setting Benchmark for Reinforcement Learning
  2024 · 1 citations
• Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods
  2018
• Position: Lifetime tuning is incompatible with continual reinforcement learning
  2024
• A New View on Planning in Online Reinforcement Learning
  2024