Johan Obando-Ceron
- Bigger, Better, Faster: Human-level Atari with human-level efficiency
2023/05/30 by Max Schwarzer, Schwarzer, Max, Johan Obando-Ceron +10 · 1 voice · 27 citations
Computer Science · #Anomaly Detection Techniques and Applications #Human Pose and Action Recognition #Reinforcement Learning in Robotics #cs.AI #cs.LG
- Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning
2025/08/11 by Zihe Liu, Liu, Zihe, Jiashun Liu +29 · 2 voices · 22 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Reinforcement Learning in Robotics #Topic Modeling #cs.CL #cs.LG
- Mixtures of Experts Unlock Parameter Scaling for Deep RL
2024/02/13 by Johan Obando-Ceron, Obando-Ceron, Johan, Ghada Sokar +15 · 13 citations
Computer Science · Physics and Astronomy · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Model Reduction and Neural Networks
- Generating Creative Chess Puzzles
2025/10/27 by Xidong Feng, Vivek Veeriah, Feng, Xidong +23 · 4 voices · 2 citations
#cs.AI #cs.LG
- In value-based deep reinforcement learning, a pruned network is a good network
2024/02/19 by Johan Obando-Ceron, Aaron Courville, Obando-Ceron, Johan +3 · 1 voice · 7 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #cs.AI #cs.LG
- Revisiting Rainbow: Promoting more Insightful and Inclusive Deep\n Reinforcement Learning Research
2020/11/20 by Johan Obando-Ceron, Pablo Samuel Castro, Obando-Ceron, Johan S. +1 · 4 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Small batch deep reinforcement learning
2023/10/05 by Johan Obando-Ceron, Obando-Ceron, Johan, Marc G. Bellemare +3 · 5 citations
Engineering · Neuroscience · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Machine Learning (cs.LG) #Muscle activation and electromyography studies
- On the consistency of hyper-parameter selection in value-based deep reinforcement learning
2024/06/25 by Johan Obando-Ceron, João G. M. Araújo, Obando-Ceron, Johan +5 · 1 voice · 5 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scheduling and Optimization Algorithms #cs.AI #cs.LG
- Neuroplastic Expansion in Deep Reinforcement Learning
2024/10/10 by Jiashun Liu, Johan Obando-Ceron, Liu, Jiashun +5 · 5 citations
Neuroscience · #Neuroscience and Neural Engineering
- Mixture of Experts in a Mixture of RL settings
2024/06/26 by Timon Willi, Willi, Timon, Johan Obando-Ceron +7 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #Distributed Sensor Networks and Detection Algorithms #Expert finding and Q&A systems #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation
2025/04/09 by Israfel Salazar, Manuel Fernández Burda, Salazar, Israfel +93 · 4 voices · 2 citations
Computer Science · Psychology · #Categorization, perception, and language #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #cs.CL #cs.CV
- Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning
2025/05/29 by Jiashun Liu, Liu, Jiashun, Zihao Wu +9 · 5 citations
Neuroscience · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural dynamics and brain function #Neuroscience and Neural Engineering
- Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning
2025/06/18 by Roger Creus Castanyer, Johan Obando-Ceron, Castanyer, Roger Creus +11 · 1 voice · 6 citations
#cs.LG
- Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
2025/05/31 by Hongyao Tang, Tang, Hongyao, Johan Obando-Ceron +7 · 4 citations
Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Muscle activation and electromyography studies
- Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL
2024/10/02 by Ghada Sokar, Johan Obando-Ceron, Sokar, Ghada +7 · 2 citations
Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG)
- The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks
2025/06/03 by Walter Mayor, Johan Obando-Ceron, Mayor, Walter +5 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Software-Defined Networks and 5G #Stochastic Gradient Optimization Techniques
- Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning
2025/10/02 by Johan Obando-Ceron, Liu, Jiashun, Obando-Ceron, Johan +16 · 2 citations
Decision Sciences · #Artificial Intelligence (cs.AI) #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
2025/10/15 by Johan Obando-Ceron, Obando-Ceron, Johan, Walter Mayor +9 · 1 voice · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Reinforcement Learning in Robotics #Robotics (cs.RO) #cs.AI #cs.LG #cs.RO
- Adaptive Computation Pruning for the Forgetting Transformer
2025/04/09 by Zhixuan Lin, Lin, Zhixuan, Johan Obando-Ceron +5 · 1 citation
Computer Science · Engineering · #Advanced Neural Network Applications #Big Data and Digital Economy #Advanced Memory and Neural Computing