A Python library for reinforcement learning using Bayesian approaches
MIT License
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Implementations of Reinforcement Learning and Planning algorithms
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compa...
A library of reinforcement learning components and agents
PyTorch implementations of deep reinforcement learning algorithms and environments
Robust policy search algorithms which train on model ensembles
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...
Reinforcement Learning in PyTorch
A Platform for Many-Agent Reinforcement Learning
Implementation of the Llama architecture with RLHF + Q-learning
强化学习-中文笔记&资源-以python实例为主-由浅入深
Reinforcement Learning Library.
A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and qu...
MATE: the Multi-Agent Tracking Environment.