Agent learning of FilmTrust dataset across various parameters. حسب Muhammad Waqar (500788)

Single agent and multi-agents tasks for <i>LazyAct</i>. حسب Hongjie Zhang (136127)

"…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …"

The agent-environment interaction in reinforcement learning [3]. حسب Raed Alharthi (18340157)

الموضوعات:

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

Agent learning of ML100K dataset across various parameters. حسب Muhammad Waqar (500788)

Agent learning of ML latest-small dataset across various parameters. حسب Muhammad Waqar (500788)

SIPPO Algorithm for Continuous-Space Facility Location حسب Mack Jie (21536510)

Network architectures for multi-agents task. حسب Hongjie Zhang (136127)

"…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …"

Time(s) and GFLOPs savings of single-agent tasks. حسب Hongjie Zhang (136127)

"…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …"

Hyperparameters for all agents. حسب Hasan Raza Khanzada (22404835)

الموضوعات:

Comparison of RL agents. حسب Hasan Raza Khanzada (22404835)

الموضوعات:

A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. حسب Boluwatife Ikwunne (22238697)

Scores vs Skip ratios on single-agent task. حسب Hongjie Zhang (136127)

"…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …"

Data and code resources. حسب Sam Hall-McMaster (10343795)

Comparison of PID and RL agents. حسب Hasan Raza Khanzada (22404835)

الموضوعات:

Evaluation criteria for RL agents. حسب Hasan Raza Khanzada (22404835)

الموضوعات:

Training process for RL agents. حسب Hasan Raza Khanzada (22404835)

الموضوعات:

Win rate vs Skip ratios on multi-agents tasks. حسب Hongjie Zhang (136127)

"…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …"

Deep reinforcement learning main components that enable the estimation of the expected reward of any action of the action space of the agent conditioned to any state perceived by t... حسب Alejandra de-la-Rica-Escudero (20570535)

الموضوعات:

Completion times for different algorithms. حسب Jianbin Zheng (587000)

"…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …"