jihoonerd / Deep-Reinforcement-Learning-with-Double-Q-learningLinks
π Paper: Deep Reinforcement Learning with Double Q-learning πΉοΈ
β56Updated 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,β¦β121Updated 4 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.β69Updated 4 months ago
- β184Updated 3 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning libraryβ236Updated 8 months ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3β101Updated 3 years ago
- very easy implementation of dueling DQN in pytorchβ73Updated 2 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.β214Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)β227Updated 3 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retroβ175Updated 2 years ago
- Deep Q-Learning (DQN) implementation for Atari pong.β85Updated 2 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some eβ¦β53Updated 4 years ago
- A Universal Deep Reinforcement Learning Frameworkβ71Updated 2 years ago
- RLlib tutorialsβ66Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.β186Updated last year
- A framework for easy prototyping of distributed reinforcement learning algorithmsβ96Updated 4 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPβ¦β115Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)β147Updated 6 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.β88Updated 2 years ago
- A well-documented A2C written in PyTorchβ52Updated 6 years ago
- Minimal implementation of multi-agent reinforcement learning algorithmsβ58Updated 4 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.β79Updated 4 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDβ¦β342Updated 2 years ago
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learningβ38Updated 2 years ago
- PyTorch implementation of SAC-Discrete.β311Updated last year
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"β180Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.β51Updated 4 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51β309Updated 5 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,β¦β89Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networksβ115Updated last year
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]β314Updated 3 years ago