KaleabTessera / DQN-AtariLinks
Deep Q-Learning (DQN) implementation for Atari pong.
☆83Updated 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,…☆123Updated 4 years ago
- DQN to play Atari Pong☆114Updated 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
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆218Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆223Updated 3 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆335Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆307Updated 11 months ago
- Simple Cartpole example writed with pytorch.☆169Updated 5 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆223Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆346Updated 5 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆183Updated 10 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆178Updated 11 months ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆99Updated 5 years ago
- Lightweight multi-agent gridworld Gym environment☆208Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- ☆132Updated 11 months ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆554Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆130Updated 11 months ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆363Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 5 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- Minimal implementation of multi-agent reinforcement learning algorithms☆56Updated 3 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆137Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆145Updated 3 years ago
- Code for conservative Q-learning☆448Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year