Borsa, Diana

1. Observational Learning by Reinforcement Learning
   2017/06/20 by Diana Borsa, Bilal Piot, Borsa, Diana +5 · 1 voice · 1 citation
   Computer Science · Engineering · #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Evolutionary Algorithms and Applications
2. Universal Successor Features Approximators
   2018/12/18 by Diana Borsa, Borsa, Diana, André Barreto +13 · 7 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
3. Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
   2019/01/30 by Barreto, André, Borsa, Diana, Quan, John +6 · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. The Option Keyboard: Combining Skills in Reinforcement Learning
   2021/06/24 by Barreto, André, Borsa, Diana, Hou, Shaobo +8 · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Learning Shared Representations in Multi-task Reinforcement Learning
   2016/03/07 by Diana Borsa, Thore Graepel, Borsa, Diana +3 · 2 citations
   Computer Science · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
6. The Termination Critic
   2019/02/26 by Harutyunyan, Anna, Dabney, Will, Borsa, Diana +3 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
   2019/04/25 by Schaul, Tom, Borsa, Diana, Modayil, Joseph +1 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Expected Eligibility Traces
   2020/07/03 by van Hasselt, Hado, Madjiheurem, Sephora, Hessel, Matteo +3 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Return-based Scaling: Yet Another Normalisation Trick for Deep RL
   2021/05/11 by Schaul, Tom, Ostrovski, Georg, Kemaev, Iurii +1 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
10. Model-Value Inconsistency as a Signal for Epistemic Uncertainty
    2021/12/08 by Angelos Filos, Filos, Angelos, Eszter Vértes +17 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
11. When should agents explore?
    2021/08/26 by Mîruna Pislar, Pîslar, Miruna, David Szepesvári +7 · 1 citation
    Computer Science · Neuroscience · #68T05 #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Neural dynamics and brain function #Reinforcement Learning in Robotics
12. Generalised Policy Improvement with Geometric Policy Composition
    2022/06/17 by Thakoor, Shantanu, Rowland, Mark, Borsa, Diana +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
13. Wasserstein Policy Optimization
    2025/05/01 by David Pfau, Pfau, David, Ian Davies +9 · 1 voice · 2 citations
    #cs.LG #cs.AI
14. A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
    2024/06/04 by Khimya Khetarpal, Zhaohan Daniel Guo, Khetarpal, Khimya +17 · 1 citation
    Computer Science · #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics
15. Optimizing Return Distributions with Distributional Dynamic Programming
    2025/01/22 by Pires, Bernardo Ávila, Rowland, Mark, Borsa, Diana +6 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering