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Note, that training data, i.e., tuples $(s,a,r,s')$ may not just come from the agent that is actually playing but also e.g. the opponents. Maybe one can implement taking also actions that the opponent…
luwo9 updated
2 months ago
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**Describe the bug**
It refers to https://unity.com/products
**To Reproduce**
Steps to reproduce the behavior:
1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error
**Con…
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- [ ] [system-2-research/README.md at main · open-thought/system-2-research](https://github.com/open-thought/system-2-research/blob/main/README.md?plain=1)
# OpenThought - System 2 Research Links
He…
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- [ ] [LLM-Agents-Papers/README.md at main · AGI-Edgerunners/LLM-Agents-Papers](https://github.com/AGI-Edgerunners/LLM-Agents-Papers/blob/main/README.md?plain=1)
# LLM-Agents-Papers
## :writing_hand…
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**Feature Request: LangGraph Integration for Adaptive Agent Workflows in PufferLib**
**Objective**: Expand PufferLib’s capabilities by integrating LangChain, TRL (Transformers Reinforcement Learnin…
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Hello Dear Mesa Community,
i am currently working on a model where agents will be able to learn about other agents' cost functions. Currently each run with my model finished one entire process for …
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To evaluate the behavior of the two agent types—**IndividualAgent** (competitive, individualistic behavior) and **SystemAgent** (collaborative, cooperative behavior)—design a series of experiments tha…
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Develop a hybrid attack decision-making system for agents that combines a Q-learning neural network (QNN) and rule-based constraints. This system will allow agents to dynamically decide between aggres…
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**User Story**: Agent Enhancement and Learning
**Tasks**:
- Implement success rate tracking for agents (Due: 2024-11-01)
- Enable agents to adjust behavior based on success rates (Due: 2024-11-07)