TataKKKL
TataKKKL
Hi @zzfoo, I am thinking of assigning these unit tests to a new contributor as an onboarding task. Let's use this issue as a mega-thread for this. Thanks for creating...
Decouple agent action planning/generation and agent action grounding. - Agent action planning/generation updates the plan based on the goal and current progress, described in natural language. - The simplest version...
action function agent
https://www.overleaf.com/project/66b7d45f9adf624e2702f75e
https://multion-research.s3.us-east-2.amazonaws.com/AgentQ.pdf
https://www.multion.ai/blog/introducing-agent-q-research-breakthrough-for-the-next-generation-of-ai-agents-with-planning-and-self-healing-capabilities
Enter Agent Q, a major milestone for Agents combining search, self-critique, and reinforcement learning to create state-of-the-art autonomous web agents that can plan and self-heal.
Has anyone implemented MCTS or https://arxiv.org/abs/2406.07394 for planning in real products beyond papers? would love some suggestions on this, since I am considering this route.
https://github.com/SidU/MathBlackBox
https://github.com/PathOnAI/LiteMultiAgent/issues/71