KaleabTessera / DQN-AtariLinks
Deep Q-Learning (DQN) implementation for Atari pong.
☆85Updated 2 years ago
Alternatives and similar repositories for DQN-Atari
Users that are interested in DQN-Atari 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
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆213Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆227Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆324Updated 3 years ago
- Simple Cartpole example writed with pytorch.☆170Updated 5 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆341Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆311Updated last year
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆217Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- DQN to play Atari Pong☆114Updated 6 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆58Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆185Updated last year
- ☆133Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆134Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆317Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆141Updated 2 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆192Updated last year
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆559Updated 3 years ago
- A plotter for reinforcement learning (RL)☆232Updated 3 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆224Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆352Updated 5 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆138Updated 10 months ago
- Lightweight multi-agent gridworld Gym environment☆210Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 3 weeks ago
- Deep recurrent Q learning on CartPole-v1 environment☆92Updated last year