#计算机科学#JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
#计算机科学#PyTorch implementation of Soft Actor-Critic (SAC)
#计算机科学#RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploratio...
#计算机科学#DrQ: Data regularized Q
#计算机科学#JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
OpenAI gym environments for training RL Agents on @OpenBB-finance Data
Masterthesis: Reinforcement Learning based Strategic Bidding in the Balancing Market with a Virtual Power Plant
#计算机科学#Repository of AI resources from workshops hosted by ACM AI at UCSD 🧠
BipedalWalker - AI teaching itself to walk
#自然语言处理#This GitHub repo showcases my AI skills with computer vision and reinforcement learning projects. Detailed documentation and code provided.
Reinforcement learning modular with pytorch
Urban mobility simulations with Python3, RLlib (Deep Reinforcement Learning), Mesa (Agent-based modeling) and OpenAI Gym.
A collection of my implemented advanced & complex RL agents for games like Soccer, Street Fighter, Mortal Kombat, Rubik's Cube, Vizdoom, Montezuma, Kungfu-master, Super-Mario-bros, HalfCheetah and mor...
🏔️🚗 Welcome to RLMountainHub! Our repository is dedicated to conquering the Mountain Car problem using advanced reinforcement learning techniques. 🧠🚀
This repository contains the implementation of a wide variety of Reinforcement Learning Projects in different applications of Bandit Algorithms, MDPs, Distributed RL and Deep RL. These projects includ...