#Reinforcement-learning-agent
Showing 12 of 12 repositories tagged #reinforcement-learning-agent, ranked by stars
A curated list of Monte Carlo tree search papers with implementations.
Trading environnement for RL agents, backtesting and training.
A minecraft mod which aims to add a "second player" into the game which will actually be intelligent.
ReinforceUI-Studio. A Python-based application designed to simplify the configuration and monitoring of RL training processes. Supporting MuJoCo, OpenAI Gymnasium, and DeepMind Control Suite. Algorithms included: CTD4, DDPG, DQN, PPO, SAC, TD3, TQC
⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
🌟Official code of our AAAI26 paper 🔍WebFilter
Implementation of algorithmic trading using reinforcement learning.
A PPO agent leveraging reinforcement learning performs Penetration Testing in a simulated computer network environment. The agent is trained to scan for vulnerabilities in the network and exploit them to gain access to various network resources.
End-to-end RL trading framework with PPO agent, self-attention neural network, custom Gym environment, and advanced backtesting.
Empower Truly Autonomous AI Agents through our Experimental Adversarial and Evolutionary Reinforcement Learning Framework. Join our Community: https://t.me/evolveRL_portal
Financial market analysis using time-series models, clustering algorithms, Transformers, and reinforcement learning for trading strategies.