mail-ecnu / Text-Gym-AgentsLinks
This project provides a set of translators to convert OpenAI Gym environments into text-based environments. It is designed to investigate the capabilities of large language models in decision-making tasks within these text-based environments.
☆19Updated last year
Alternatives and similar repositories for Text-Gym-Agents
Users that are interested in Text-Gym-Agents are comparing it to the libraries listed below
Sorting:
- A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language Models☆49Updated 5 months ago
- ☆73Updated last year
- RLA is a tool for managing your RL experiments automatically☆71Updated 2 years ago
- Google Research Football MARL Benchmark and Research Toolkit☆48Updated last year
- ☆12Updated last year
- This is a repository for Hidden-utility Self-Play.☆25Updated 2 years ago
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆20Updated 3 years ago
- Overcooked human-AI experiment platform☆38Updated last year
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated last month
- RLA is a tool for managing your RL experiments automatically☆29Updated 8 months ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆38Updated last year
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆18Updated 2 years ago
- Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.☆30Updated 11 months ago
- ICML'2024: Q-value Regularized Transformer for Offline Reinforcement Learning☆34Updated 8 months ago
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆33Updated last year
- [NeurIPS 2022] Official codebase for "Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learn…☆23Updated 7 months ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆36Updated 3 years ago
- ☆84Updated 2 years ago
- ☆30Updated 2 years ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Updated 10 months ago
- ☆12Updated last year
- ☆114Updated 2 years ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆47Updated 2 years ago
- ☆13Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆89Updated last year
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆22Updated last year
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆44Updated 10 months ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- ☆37Updated last year
- A large-scale multi-modal pre-trained model☆132Updated 2 years ago