moduIo / Deep-Q-network
Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.
☆39Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Deep-Q-network
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆66Updated 3 months ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆207Updated last year
- ☆179Updated 2 years ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆49Updated 6 months ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆119Updated 3 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆173Updated last year
- Various ways to learn a computer to escape from a maze. From random walk to a simple neural network.☆92Updated 2 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆96Updated 2 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆36Updated last year
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆73Updated 4 years ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆26Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆159Updated last month
- Tensorflow 2 Reinforcement Learning Cookbook, published by Packt☆189Updated last year
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆139Updated 2 years ago
- Deep Q-Learning (DQN) implementation for Atari pong.☆72Updated last year
- very easy implementation of dueling DQN in pytorch☆68Updated last year
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆87Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆202Updated last year
- Lightweight multi-agent gridworld Gym environment☆194Updated last year
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆132Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆96Updated last year
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆92Updated 4 years ago
- Solutions for different Reinforcement Learning environments☆25Updated 3 months ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆80Updated last year
- Experiments with reinforcement learning and recurrent neural networks☆113Updated last year
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆67Updated 3 years ago
- Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)☆44Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆268Updated 3 years ago