locross93 / Hypothetical-MindsLinks
Hypothetical Minds is an autonomous LLM-based agent for diverse multi-agent settings, integrating a Theory of Mind module Theory of Mind module that scaffolds the high-level planning process by generating, evaluating, and refining hypotheses about other agents’ strategies in natural language.
☆31Updated last year
Alternatives and similar repositories for Hypothetical-Minds
Users that are interested in Hypothetical-Minds are comparing it to the libraries listed below
Sorting:
- An OpenAI gym environment to evaluate the ability of LLMs (eg. GPT-4, Claude) in long-horizon reasoning and task planning in dynamic mult…☆69Updated 2 years ago
- We develop world models that can be adapted with natural language. Intergrating these models into artificial agents allows humans to effe…☆24Updated last year
- Repo to reproduce the First-Explore paper results☆37Updated 6 months ago
- ☆64Updated last year
- Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models☆60Updated 4 months ago
- How to create rational LLM-based agents? Using game-theoretic workflows!☆72Updated last month
- Governance of the Commons Simulation (GovSim)☆55Updated 5 months ago
- Skill Design From AI Feedback☆30Updated 4 months ago
- Code repository for the NAACL 2025 paper "LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language…☆37Updated 9 months ago
- ☆32Updated last year
- ☆14Updated last year
- OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code (ICLR 2025).☆60Updated 6 months ago
- ☆98Updated last year
- ☆19Updated 3 months ago
- ☆32Updated last year
- Official Implementation of "DeLLMa: Decision Making Under Uncertainty with Large Language Models"☆57Updated 8 months ago
- Natural Language Reinforcement Learning☆90Updated 6 months ago
- A benchmark for evaluating learning agents based on just language feedback☆81Updated last month
- A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM☆77Updated 10 months ago
- [ICML 2024] Official code release accompanying the paper "diff History for Neural Language Agents" (Piterbarg, Pinto, Fergus)☆20Updated 10 months ago
- Learn online intrinsic rewards from LLM feedback☆41Updated 6 months ago
- AdaPlanner: Language Models for Decision Making via Adaptive Planning from Feedback☆109Updated 3 months ago
- ☆61Updated 4 months ago
- ☆127Updated last year
- Cooperative Language-Guided Inverse Plan Search (CLIPS).☆19Updated 3 months ago
- ☆12Updated last year
- Interpreting how transformers simulate agents performing RL tasks☆87Updated last year
- Scalable Opponent Shaping Experiments in JAX☆24Updated last year
- Implementations of Curious Replay for model-based adaptation.☆41Updated 2 years ago
- ☆37Updated 9 months ago