SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. - Benjamin Ellis; Skander Moalla; Mikayel Samvelyan; Mingfei Sun 001; Anuj Mahajan; Jakob N. Foerster; Shimon Whiteson (CoRR, 2022)

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. - Benjamin Ellis; Jonathan Cook 004; Skander Moalla; Mikayel Samvelyan; Mingfei Sun 001; Anuj Mahajan; Jakob N. Foerster; Shimon Whiteson (NeurIPS, 2023)

No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO. - Skander Moalla; Andrea Miele; Daniil Pyatko; Razvan Pascanu; Caglar Gulcehre (NeurIPS, 2024)

Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers. - Xiuying Wei; Skander Moalla; Razvan Pascanu; Caglar Gulcehre (NeurIPS, 2024)

No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO. - Skander Moalla; Andrea Miele; Razvan Pascanu; Caglar Gulcehre (CoRR, 2024)

Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers. - Xiuying Wei; Skander Moalla; Razvan Pascanu; Caglar Gulcehre (CoRR, 2024)

Investigating Low-Rank Training in Transformer Language Models: Efficiency and Scaling Analysis. - Xiuying Wei; Skander Moalla; Razvan Pascanu; Caglar Gulcehre (CoRR, 2024)

Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions. - Simon Matrenok; Skander Moalla; Caglar Gulcehre (CoRR, 2025)