IEEE

Residual Q-Networks for Value Function Factorizing in Multiagent Reinforcement Learning

Abstract: Multiagent reinforcement learning (MARL) is useful in many problems that require the cooperation and coordination of multiple agents. Learning optimal policies using reinforcement learning ...
IEEE

Blind Signal Detection in Massive MIMO: Exploiting the Channel Sparsity

Abstract: In practical massive MIMO systems, a substantial portion of system resources are consumed to acquire channel state information (CSI), leading to a drastically lower system capacity compared ...
GitHub

PKU-RL/FOP-DMAC-MACPF

CUBLAS_WORKSPACE_CONFIG=:16:8 python3 src/main.py --config=fop/dmac/dfop --env-config=sc2 with env_args.map_name=2c_vs_64zg seed=1 Environment variable CUBLAS_WORKSPACE_CONFIG is recommended to ...
GitHub

FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
C&EN

Renormalized Internally Contracted Multireference Coupled Cluster with Perturbative Triples

Therefore, our timings are not competitive but serve as a rough estimate. A spin-adapted implementation of MR-LDSRG (2) and ric-MRCC would accelerate calculations significantly. Additionally, our ...
C&EN

Implications of Additivity and Nonadditivity for Machine Learning and Deep Learning Models in Drug Design

Medicinal Chemistry, Research and Early Development, Respiratory and Immunology (R&I), BioPharmaceuticals R&D, AstraZeneca, Gothenburg 431 83, Sweden ...