moduIo / Deep-Q-network
Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.
☆40Updated 2 years ago
Alternatives and similar repositories for Deep-Q-network:
Users that are interested in Deep-Q-network are comparing it to the libraries listed below
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆68Updated 7 months ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆78Updated 4 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆45Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆170Updated 7 months ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆51Updated 10 months ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆142Updated 3 years ago
- ☆183Updated 3 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆209Updated last year
- Tensorflow 2 Reinforcement Learning Cookbook, published by Packt☆196Updated 2 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆38Updated last year
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆68Updated 4 years ago
- An OpenAI gym multi-agent environment implementing the Commons Game proposed in "A multi-agent reinforcement learning model of common-poo…☆21Updated 4 years ago
- Gridworld for MARL experiments☆138Updated 4 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆215Updated last month
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆286Updated 5 years ago
- ☆385Updated last year
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 4 years ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆97Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆48Updated 4 years ago
- Reinforcement learning with tensorflow 2 keras☆252Updated 3 years ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆27Updated 3 years ago
- ☆92Updated 4 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆195Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 4 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆85Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago