Bruno Lacerda

1. JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
   2023/11/16 by Alexander R. Rutherford, Benjamin J. Ellis, Rutherford, Alexander +38 · 25 citations
   Computer Science · Social Sciences · #Reinforcement Learning in Robotics #Artificial Intelligence in Games #Digital Games and Media
2. RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning
   2022/04/26 by Marc Rigter, Bruno Lacerda, Rigter, Marc +3 · 8 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
3. No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery
   2024/08/27 by Alexander R. Rutherford, Rutherford, Alexander, Michael Beukman +9 · 5 citations
   Social Sciences · Decision Sciences · Mathematics · #Educational Assessment and Pedagogy #Educational Assessment and Improvement #Statistics Education and Methodologies
4. Risk-Aware Motion Planning in Partially Known Environments
   2021/09/23 by Fernando S. Barbosa, Bruno Lacerda, Barbosa, Fernando S. +7 · 1 citation
   Computer Science · #Robotic Path Planning Algorithms
5. Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation
   2025/04/29 by Harry Mead, Mead, Harry, Clarissa Costen +5 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques