ShangtongZhang / DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
☆3,289Updated last year
Alternatives and similar repositories for DeepRL:
Users that are interested in DeepRL are comparing it to the libraries listed below
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,088Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,729Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,250Updated 4 years ago
- Collection of reinforcement learning algorithms☆2,648Updated 10 months ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,960Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,065Updated 3 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,620Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,260Updated 5 years ago
- Assignments for CS294-112.☆1,589Updated 2 years ago
- For deep RL and the future of AI.☆1,457Updated last year
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,252Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆1,960Updated last year
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,030Updated last year
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,343Updated 10 months ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,166Updated 2 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,777Updated 8 months ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,217Updated 2 months ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,344Updated 2 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,846Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,188Updated 4 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,720Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,277Updated 2 months ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,940Updated this week
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,251Updated 6 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,244Updated 2 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,505Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,428Updated 2 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,310Updated 8 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,287Updated last year
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,003Updated last year