Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
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Updated
May 15, 2024 - Lua
Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Python library for solving reinforcement learning (RL) problems using generative models.
The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior using neurophysiological models of the neocortex, basal ganglia, and thalamus.
⛰ Reinforcement learning model trying to make car reach to top of mountain
Balacio-Kit: Robot de autobalanceo de ultra bajo costo, capaz de correr una red neuronal para mantener el equibrio y de ser controlado remotamente de manera inalámbrica
A pokémon showdown battle-bot project based on reinforcement learning techniques.
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
SAPIEN Manipulation Skill Framework, a GPU parallelized robotics simulator and benchmark
autoupdate paper list
A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.
PPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )
Visually Realistic Underwater Robotics Simulator UNav-Sim
Machine learning and data analysis package implemented in JavaScript and its online demo.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Sophisticated Learning Implementations: MATLAB and Python code for the "Sophisticated Learning" algorithm from Hodson et al.'s research on model-based planning.
An easy-to-use and modular Python library for the Job Shop Scheduling Problem (JSSP)
Long-Term Evolution Project of Reinforcement Learning
Gym environment for building simulation and control using reinforcement learning
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