BY571 / DQN-Atari-AgentsLinks
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
☆121Updated 4 years ago
Alternatives and similar repositories for DQN-Atari-Agents
Users that are interested in DQN-Atari-Agents are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of FQF, IQN and QR-DQN.☆182Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆143Updated 6 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆188Updated 10 months ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆213Updated 2 years ago
- Lightweight multi-agent gridworld Gym environment☆209Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆319Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆307Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆290Updated 4 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆139Updated 2 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆69Updated 2 months ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆225Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 3 weeks ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆222Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆51Updated 2 months ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 5 years ago
- Gridworld for MARL experiments☆141Updated 4 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆59Updated 5 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆218Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆317Updated 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
- ☆184Updated 3 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆102Updated 3 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆115Updated last year