eleurent / rl-agents
Implementations of Reinforcement Learning and Planning algorithms
☆589Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for rl-agents
- An OpenAI gym wrapper for CARLA simulator☆540Updated 2 years ago
- Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for A…☆336Updated last year
- Scalable Multi-Agent RL Training School for Autonomous Driving☆951Updated last week
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆706Updated 10 months ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆393Updated last year
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆665Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆479Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆668Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,216Updated 11 months ago
- Soft Actor-Critic☆999Updated 11 months ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆294Updated 2 years ago
- Imitation learning algorithms☆460Updated 3 months ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆280Updated last year
- Tools for accelerating safe exploration research.☆505Updated last year
- ☆1,079Updated 5 months ago
- Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTo…☆371Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆651Updated 5 months ago
- multi-agent deep reinforcement learning for networked system control.☆383Updated 4 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆513Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,120Updated 11 months ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆587Updated 6 months ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆430Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC)☆512Updated 2 years ago
- A collection of reference environments for offline reinforcement learning☆1,334Updated last week
- This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experime…☆228Updated 2 years ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,322Updated 3 months ago
- PyTorch implementation of soft actor critic☆814Updated 3 years ago
- Library for Model Based RL☆962Updated 3 months ago
- MARL for Autonomous Vehicles☆253Updated 3 weeks ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆860Updated 3 months ago