KaleabTessera / DQN-Atari
Deep Q-Learning (DQN) implementation for Atari pong.
☆77Updated 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
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆208Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆136Updated 6 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 4 years ago
- DQN to play Atari Pong☆113Updated 6 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆84Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆169Updated 7 months ago
- PyTorch implementation of SAC-Discrete.☆297Updated 7 months ago
- very easy implementation of dueling DQN in pytorch☆71Updated 2 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆108Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- ☆123Updated 7 months ago
- The code for maddpg using pytorch☆165Updated 4 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆329Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆173Updated 5 months ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆121Updated 7 months ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆202Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- A plotter for reinforcement learning (RL)☆218Updated 3 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 2 years ago
- Simple Cartpole example writed with pytorch.☆166Updated 5 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆54Updated 3 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆210Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆160Updated 3 months ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆68Updated 7 months ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆178Updated 2 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆40Updated 6 years ago
- Lightweight multi-agent gridworld Gym environment☆202Updated last year