Custom Reinforcement Learning Agents
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Updated
Oct 25, 2023 - Python
Custom Reinforcement Learning Agents
Collect more gift than an AI opponent in this fast-paced Christmas-themed game.
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
First version of social 2-step task with shocks.
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
deep reinforcement learning for a modified version of the board game Bao la kujifunza
Implementation of Continuous Control RL Algorithms
A general-purpose remote environment for training RL agents.
RL Agents for various OpenAI Gym environments
Open Gym Taxi v3 environment solved using sarsamax algorithm(Q-Learning)
Train a tic-tac-toe agent with reinforcement learning.
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…
A reinforcement learning agent navigating the OpenAI's FrozenLake environment
RL-Toolkit: A Research Framework for Robotics
Pytorch Implementation of RL algorithms
Boid flock multi-agent RL training environment implemented in JAX
Mobile Apps (Android) as Environment for Reinforcement Learning Agents
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