Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
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Updated
Mar 29, 2023 - Python
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
The implement of all kinds of dqn reinforcement learning with Pytorch
Graph-based Deep Q Network for Web Navigation
🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.
An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents
Applying the DQN-Agent from keras-rl to Starcraft 2 Learning Environment and modding it to to use the Rainbow-DQN algorithms.
Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.
RBDoom is a Rainbow-DQN based agent for playing the first-person shooter game Doom
We use the Rainbow DQN model to build agents that play Ms-Pacman, Atlantis and Demon Attack. We make modifications to the model that allow much faster convergence on Ms-Pacman with respect to Deepmind's original paper and obtain comparable performance.
ReLAx - Reinforcement Learning Applications Library
Comparison of different Deep Reinforcement Learning (DRL) Frameworks. This repository includes "tf-agents", "RLlib" and will soon support "acme" as well.
Playing 2048 with Rainbow agent
Example Rainbow DQN implementation with ReLAx
Tensorflow - Keras /PyTorch Implementation ⚡️ of State-of-the-art DeepQN for RL Gym benchmarks 👨💻
Build and test DRL algorithms in different environments
An exploration of the effects of Intrinsic Motivation methods on RL algorithms using Atari games.
Minimum viable reinforcement learning algorithms for your educational convenience.
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