kengz / SLM-LabLinks
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
☆1,327Updated this week
Alternatives and similar repositories for SLM-Lab
Users that are interested in SLM-Lab are comparing it to the libraries listed below
Sorting:
- Reinforcement Learning in PyTorch☆2,270Updated 5 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,082Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,193Updated 3 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,661Updated 4 years ago
- A toolkit for reproducible reinforcement learning research.☆2,069Updated 2 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆551Updated last year
- Collection of reinforcement learning algorithms☆2,844Updated last year
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,530Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,396Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,391Updated 2 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,017Updated 6 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆691Updated 3 weeks ago
- Code for the paper "Exploration by Random Network Distillation"☆929Updated 5 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,267Updated 4 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,388Updated last month
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,468Updated 3 years ago
- Python library for Reinforcement Learning.☆917Updated 5 months ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,156Updated 4 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,123Updated 8 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,757Updated 3 years ago
- A PyTorch Platform for Distributed RL☆752Updated 4 years ago
- Structural implementation of RL key algorithms☆516Updated 2 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆491Updated last year
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆838Updated 3 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,003Updated 3 months ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆845Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,311Updated 6 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆712Updated last year
- Code from the Deep Reinforcement Learning in Action book from Manning, Inc☆830Updated last year
- For deep RL and the future of AI.☆1,501Updated last year