A library of reinforcement learning components and agents
APACHE-2.0 License
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compa...
An API standard for multi-agent reinforcement learning environments, with popular reference envir...
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...
Softlearning is a reinforcement learning framework for training maximum entropy policies in conti...
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a ...
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-f...
SBX: Stable Baselines Jax (SB3 + Jax)
An Agent-Environment interface with Jax transformation compatibility
ChainerRL is a deep reinforcement learning library built on top of Chainer.
Collection of reinforcement learning algorithms
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
MATE: the Multi-Agent Tracking Environment.
Reinforcement Learning in PyTorch