Custom Reinforcement Learning Agents
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Updated
Oct 25, 2023 - Python
Custom Reinforcement Learning Agents
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
Pytorch Implementation of RL algorithms
Some Reinforcement Learning in Python. Especially how to get the feature for linear function approximation.
dITC through RL Code Foundation
This repo contains toy solutions for the openAI gym environment implementing Q-networks in Keras and TensorFlow
Implementation of Continuous Control RL Algorithms
A general-purpose remote environment for training RL agents.
RL Agents for various OpenAI Gym environments
Our project focuses on the problem of generating synthetic levels of a game such that the levels can be used to learn an optimal policy for playing the game. Given a few pre-existing game levels we want to use deep generative models (like GANs) to generate new additional game levels. We will then train an RL agent on these levels to learn a gene…
RL-Toolkit: A Research Framework for Robotics
Pytorch Implementation of RL algorithms
NLPGym - A toolkit to develop RL agents to solve NLP tasks.
Train a tic-tac-toe agent using reinforcement learning.
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
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