jihoonerd / Deep-Reinforcement-Learning-with-Double-Q-learningLinks
📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️
☆58Updated last year
Alternatives and similar repositories for Deep-Reinforcement-Learning-with-Double-Q-learning
Users that are interested in Deep-Reinforcement-Learning-with-Double-Q-learning are comparing it to the libraries listed below
Sorting:
- 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.☆69Updated 5 months ago
- very easy implementation of dueling DQN in pytorch☆73Updated 2 years ago
- ☆184Updated 3 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆229Updated 3 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 2 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆102Updated 3 years ago
- Deep Q-Learning (DQN) implementation for Atari pong.☆86Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆196Updated last year
- PyTorch implementation of SAC-Discrete.☆310Updated last year
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆54Updated last week
- A Universal Deep Reinforcement Learning Framework☆71Updated 2 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated 2 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆242Updated 9 months ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆343Updated 2 years ago
- Lightweight multi-agent gridworld Gym environment☆212Updated 2 years ago
- RLlib tutorials☆66Updated 3 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 2 years ago
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning☆38Updated 2 weeks ago
- Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.☆37Updated 2 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆219Updated 2 years ago