jihoonerd / Deep-Reinforcement-Learning-with-Double-Q-learningLinks
📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️
☆57Updated 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 4 months 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
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆101Updated 3 years ago
- very easy implementation of dueling DQN in pytorch☆73Updated 2 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆80Updated 5 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆239Updated 9 months ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆228Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆196Updated last year
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆343Updated 2 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆218Updated 2 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 2 years ago
- Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space☆46Updated 8 years ago
- A Universal Deep Reinforcement Learning Framework☆71Updated 2 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆308Updated 5 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 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
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆115Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆311Updated last year
- Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.☆37Updated 2 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆53Updated 4 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆148Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆326Updated 3 years ago
- Lightweight multi-agent gridworld Gym environment☆210Updated 2 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆88Updated 2 years ago