justinjfu / inverse_rlLinks
☆272Updated 6 years ago
Alternatives and similar repositories for inverse_rl
Users that are interested in inverse_rl are comparing it to the libraries listed below
Sorting:
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆208Updated 5 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆632Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆311Updated 2 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆446Updated last year
- PyTorch implementation of GAIL and AIRL based on PPO.☆223Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆316Updated 3 years ago
- Code for hierarchical imitation learning and reinforcement learning☆290Updated 7 years ago
- Constrained Policy Optimization☆321Updated 7 years ago
- Tensorflow implementation of generative adversarial imitation learning☆200Updated 7 years ago
- ☆391Updated 5 years ago
- [NIPS 2017] InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆179Updated 6 months ago
- Deep Variational Reinforcement Learning☆136Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆160Updated 4 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
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆212Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆442Updated 6 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆189Updated 2 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆88Updated 6 years ago
- ☆196Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆494Updated 2 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆239Updated 2 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆150Updated 4 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆491Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆239Updated 5 years ago
- ☆91Updated last year