kzl / decision-transformerLinks
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
☆2,627Updated last year
Alternatives and similar repositories for decision-transformer
Users that are interested in decision-transformer are comparing it to the libraries listed below
Sorting:
- A collection of reference environments for offline reinforcement learning☆1,555Updated 9 months ago
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆3,003Updated last week
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,529Updated 3 weeks ago
- An offline deep reinforcement learning library☆1,534Updated 2 months ago
- Library for Model Based RL☆1,012Updated last year
- PFRL: a PyTorch-based deep reinforcement learning library☆1,243Updated last year
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,567Updated 7 months ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,147Updated last year
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆823Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,272Updated 5 months ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,304Updated last week
- Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"☆511Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,743Updated last year
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,084Updated 2 months ago
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆1,065Updated 10 months ago
- ☆1,223Updated last year
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆7,700Updated last month
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,930Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆2,015Updated 2 years ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆836Updated last year
- High throughput synchronous and asynchronous reinforcement learning☆926Updated 2 months ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆634Updated last week
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,545Updated 3 weeks ago
- Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.☆906Updated last year
- Python Multi-Agent Reinforcement Learning framework☆2,067Updated 2 years ago
- Mastering Diverse Domains through World Models☆2,067Updated 4 months ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆955Updated 2 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,328Updated last year
- Reinforcement Learning in PyTorch☆2,267Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,239Updated 4 years ago