1 dépôt
Awesome GitHub RepositoriesAgent Task Environments
Mapping specific agent classes to isolated environment specifications for task execution.
Distinct from Conda: Focuses on linking agents to functional task environments rather than general package management.
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Awesome Agent Task Environments GitHub Repositories
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- openmanus/openmanus-rl
OpenManus/OpenManus-RL
3,916Voir sur GitHubOpenManus-RL is a reinforcement learning framework and distributed training pipeline designed to train large language models as agents. It serves as an agentic reasoning optimizer and reward model trainer, providing the infrastructure to improve model decision-making through reward-based policy optimization. The project distinguishes itself through a distributed architecture that supports parameter sharding across multiple compute nodes and a coordinated rollout system for collecting interaction trajectories. It incorporates advanced reasoning strategies, such as Tree-of-Thoughts and Monte Ca
Links agent classes to isolated conda specifications and automated setup scripts for task-specific environments.
Python
