kengz / SLM-LabLinks
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
☆1,286Updated 4 months ago
Alternatives and similar repositories for SLM-Lab
Users that are interested in SLM-Lab are comparing it to the libraries listed below
Sorting:
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,183Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,267Updated 4 years ago
- A toolkit for reproducible reinforcement learning research.☆1,997Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,633Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,721Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,080Updated 4 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆546Updated 8 months ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,348Updated 2 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,524Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,316Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,317Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,273Updated 3 weeks ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,113Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,281Updated 5 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆681Updated 4 years ago
- Python library for Reinforcement Learning.☆887Updated 2 months ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,228Updated 4 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,964Updated last month
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,793Updated 3 years ago
- Code for the paper "Exploration by Random Network Distillation"☆904Updated 4 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,007Updated 6 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,441Updated 2 years ago
- For deep RL and the future of AI.☆1,471Updated last year
- A Platform for Many-Agent Reinforcement Learning☆1,746Updated 2 years ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆819Updated 3 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆685Updated 2 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,030Updated 2 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆474Updated last year
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆824Updated 2 years ago
- A PyTorch library for building deep reinforcement learning agents.☆648Updated last year