Reinforcement learning is used to train player agent and dealer agent in Black Jack games, mainly using Monte Carlo method
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Updated
May 31, 2024 - Python
Reinforcement learning is used to train player agent and dealer agent in Black Jack games, mainly using Monte Carlo method
RL Forge is an open source reinforcement learning library that aims to provide the users with useful functions for the development of Reinforcement Learning Agents. The library also includes multiple popular reinforcement learning agents and environments, in addition, it is designed to be compatible with the gymnasium library (previous OpenAI Gym).
Reinforcement Learning through Tree-of-Thought (ToT) with pure math
Reinforcement learning on 2D video game
Four python code files experimenting with reinforcement learning
Reinforcement learning algorithms
This project utilizes a guide robot to aid visually impaired individuals in navigating obstacle-filled maps. Advanced agents like Behiavor Cloning and Advantage-Filtered Behavior Cloning optimize navigation, while human-human interaction enhances data collection for improved safety and efficiency.
Wrappers for reinforcement learning algorithms (i.e. stable baselines 3, RLlib) to work with pyRDDLGym.
JAX Implementation of Proximal Policy Optimisation Algorithm
Collection of Reinforcement Learning models for training in the VizDoom and CartPole environments. Developed by Group 2 for the University of Bath's CM50270 module, exploring advanced strategies for models navigating complex situations.
Snake game environment integrated with OpenAI Gym. Proximal Policy Optimization (PPO) implementation for training. Visualization of training progress and agent performance. Easy to understand code.
This is the official repository for the book Transformers - The Definitive Guide
Modern applied deep learning with reinforcement methodology.
Using Q-Learning methods in Gymnasium to solve various games, very basic implementation.
Reinforcement Learning Agents in .NET
Deep Reinforcement Learning PyTorch Implementation of Temporal Difference Models extended to images using latent representation
Built a Snake Game by integrating AI techniques such as Reinforcement Learning , PyTorch , Matplotlib and Numpy
Bitcoin Time-Series Analysis, Clustering, RL Trader Agent
Scratch solution to the OpenAI Discrete Lunar Lander Environment using Deep Q-Learning.
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