rlcard
★ 3.6k
vs
rllm
★ 5.9k
rlcard vs rllm
rlcard: RLCard is a toolkit designed for Reinforcement Learning in card games, providing multiple card environments with easy-to-use interfaces. Its goal is to bridge reinforcement learning and imperfect information games, supporting various RL and searching algorithms.; rllm: rLLM is an open-source framework designed for post-training language agents using reinforcement learning. It allows users to easily build, train, and deploy custom agents and environments for real-world workloads.
01
TL;DR
rlcardLLM Infra · ★ 3.6k
Developing and testing reinforcement learning agents for various card games.
rllmLLM Infra · ★ 5.9k
Training powerful coding models for tasks like code generation and bug fixing.
02
Side-by-Side Comparison
Field
rlcardrllmCategory
LLM Infra
LLM Infra
Stars
★ 3.6k
★ 5.9k
License
MIT
Apache-2.0
Install Command
pip3 install rlcard
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
Updated
2y ago
1w ago
Open Source
Yes
Yes
Tags
Reinforcement Learning, Card Games, Imperfect Information Games
Reinforcement Learning, Language Agents, LLM
03
Features
rlcard01Provides multiple card game environments for research and development.
02Offers easy-to-use interfaces for implementing various reinforcement learning and search algorithms.
03Supports popular algorithms such as Deep Q-Learning (DQN), NFSP, CFR, and Deep Monte-Carlo (DMC).
04Integrates with PettingZoo and provides PyTorch implementations for training algorithms.
05Includes human interfaces for interactive play and a GUI demo (RLCard-Showdown) for visualization.
rllm01Open-source framework for reinforcement learning-based post-training of language agents.
02Supports building, training, and deploying custom agents and environments.
03Offers multiple training backends including 'verl' and 'tinker'.
04Enables LoRA and VLM training for advanced models.
05Includes AgentWorkflowEngine for training over arbitrary agentic programs.
04
Use Cases
rlcard↳Developing and testing reinforcement learning agents for various card games.
↳Conducting research into strategies and algorithms within imperfect information game environments.
↳Comparing the performance and effectiveness of different RL and search algorithms.
rllm↳Training powerful coding models for tasks like code generation and bug fixing.
↳Developing sophisticated software engineering agents for automated tasks.
↳Building and evaluating multi-agent systems using reinforcement learning techniques.
05
Best For
rlcard—
rllmTrending
FAQ
FAQ
What is the difference between rlcard and rllm?
Both rlcard and rllm are in the LLM Infra category. rlcard has 3.6k stars, while rllm has 5.9k stars.
Which is better, rlcard or rllm?
The best choice depends on your use case. Choose rlcard if Developing and testing reinforcement learning agents for various card games., and rllm if Training powerful coding models for tasks like code generation and bug fixing..
Is rlcard free or open source?
Yes, rlcard is open source on GitHub (MIT).
Is rllm free or open source?
Yes, rllm is open source on GitHub (Apache-2.0).
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