yrlu / irl-imitation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
☆628Updated 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)☆750Updated last year
- Implementations of selected inverse reinforcement learning algorithms.☆1,021Updated 2 years ago
- ☆272Updated 6 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆696Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,205Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆491Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆542Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,298Updated last year
- PyTorch implementation of Trust Region Policy Optimization☆441Updated 6 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆629Updated 4 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆575Updated 7 years ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆176Updated 3 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆423Updated last year
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆446Updated last year
- PyTorch implementation of soft actor critic☆875Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆489Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆339Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆315Updated 3 years ago
- Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python☆285Updated last year
- PyTorch implementation of SAC-Discrete.☆302Updated 9 months ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆426Updated 2 years ago
- Soft Actor-Critic☆1,092Updated last year
- A collection of multi agent environments based on OpenAI gym.☆600Updated 10 months ago
- Mean Field Multi-Agent Reinforcement Learning☆393Updated 5 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆739Updated 2 years ago
- Constrained Policy Optimization☆321Updated 7 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆306Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆207Updated 5 years ago