harpribot / IRL-maxentLinks
Experiments showing effects of parameters on Maximum Entropy Inverse Reinforcement Learning using grid world
☆15Updated 8 years ago
Alternatives and similar repositories for IRL-maxent
Users that are interested in IRL-maxent are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Tensorflow implementation of generative adversarial imitation learning☆199Updated 7 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 2 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆183Updated 7 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 8 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- [NIPS 2017] InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆180Updated 8 months ago
- PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.☆15Updated 8 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Code for hierarchical imitation learning and reinforcement learning☆293Updated 7 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
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆127Updated 2 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- implement of prioritized experience replay☆159Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Deep Variational Reinforcement Learning☆136Updated 3 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆178Updated 7 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Updated 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
- Cool Inverse Reinforcement Learning Papers☆124Updated 8 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Gym environments modified with adversarial agents☆36Updated 8 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆80Updated 6 years ago