rail-berkeley / rlkit
Collection of reinforcement learning algorithms
☆2,619Updated 9 months ago
Alternatives and similar repositories for rlkit:
Users that are interested in rlkit are comparing it to the libraries listed below
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,275Updated last year
- A toolkit for reproducible reinforcement learning research.☆1,943Updated last year
- Reinforcement Learning in PyTorch☆2,245Updated 4 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,713Updated 2 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,823Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,177Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,196Updated last week
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,278Updated 11 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,059Updated 3 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,608Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,160Updated 2 years ago
- Python Multi-Agent Reinforcement Learning framework☆1,972Updated 2 years ago
- PyTorch implementation of soft actor critic☆860Updated 3 years ago
- Soft Actor-Critic☆1,056Updated last year
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,239Updated 2 years ago
- Library for Model Based RL☆987Updated 8 months ago
- A collection of reference environments for offline reinforcement learning☆1,434Updated 4 months ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,256Updated 5 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆674Updated 4 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,490Updated 11 months ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,273Updated last month
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,926Updated 4 months ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,195Updated last month
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,079Updated 3 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆596Updated 6 years ago
- For deep RL and the future of AI.☆1,450Updated last year
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,187Updated last year
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆642Updated last year
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆901Updated 2 months ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,748Updated 11 months ago