A PyTorch library for building deep reinforcement learning agents.
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Updated
Mar 17, 2024 - Python
A PyTorch library for building deep reinforcement learning agents.
A curated list of Monte Carlo tree search papers with implementations.
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Deep Q-learning for playing flappy bird game
Deep Q-learning for playing tetris game
Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.
A Deep Reinforcement Learning Framework for Stock Market Trading
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
Using deep reinforcement learning to tackle the game 2048.
A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
Repository for CAADRIA19 Workshop: "WS.4 Deep Reinforcement Learning in Grasshopper".
Deep Reinforcement learning and Python learn how to play the original Super Mario Bros
A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning
A training simulation for the 'Kuka LBR iiwa' robotic arm using a deep Q-network.
A PyTorch AI that learns to solve Rubik's Cubes using Deep Q-Learning.
DDQN inplementation on PLE FlappyBird environment in PyTorch.
Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow
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