KaleabTessera / DQN-Atari
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☆115Updated 6 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆212Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 9 months ago
- A plotter for reinforcement learning (RL)☆223Updated 3 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆333Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆176Updated 9 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆180Updated 8 months ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆315Updated 3 years ago
- very easy implementation of dueling DQN in pytorch☆72Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆222Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆140Updated 6 years ago
- PyTorch implementation of SAC-Discrete.☆302Updated 9 months ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆167Updated 6 months ago
- The implement of the policy gradient RL algorithm with pytorch☆38Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆52Updated 4 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- Simple, readable, yet full-featured implementation of PPO in Pytorch☆49Updated 3 weeks ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- ☆245Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆107Updated 3 years ago
- ☆129Updated 9 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆105Updated 5 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 9 months ago
- Code for Weighted QMIX☆136Updated 4 years ago
- ☆203Updated last year