yrlu / irl-imitationLinks
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
☆639Updated last year
Alternatives and similar repositories for irl-imitation
Users that are interested in irl-imitation are comparing it to the libraries listed below
Sorting:
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆757Updated last year
- Implementations of selected inverse reinforcement learning algorithms.☆1,028Updated 2 years ago
- ☆271Updated 7 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆501Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆346Updated 5 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆496Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆706Updated 2 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆450Updated 2 years ago
- Constrained Policy Optimization☆321Updated 8 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆634Updated 4 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆427Updated last year
- PyTorch implementation of Trust Region Policy Optimization☆441Updated 6 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆315Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆553Updated 3 years ago
- Mean Field Multi-Agent Reinforcement Learning☆396Updated 5 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,316Updated last year
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,228Updated 4 years ago
- Code for hierarchical imitation learning and reinforcement learning☆293Updated 7 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆210Updated 6 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆592Updated 7 years ago
- Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python☆291Updated last year
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆176Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- PyTorch implementation of soft actor critic☆894Updated 3 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆411Updated 4 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆432Updated 3 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆435Updated 2 years ago
- ☆343Updated 7 years ago