harpribot / IRL-maxentLinks
Experiments showing effects of parameters on Maximum Entropy Inverse Reinforcement Learning using grid world
☆15Updated 9 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:
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 3 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Updated 7 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Updated 8 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆182Updated 8 years ago
- A3C style Option-Critic with deliberation cost☆40Updated 8 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 7 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 9 years ago
- Deep Variational Reinforcement Learning☆139Updated 3 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆96Updated 6 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆133Updated 6 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 8 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 3 years ago
- NIPS 2017 Value Prediction Network☆166Updated 8 years 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
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆177Updated 4 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆155Updated 8 years ago
- PyTorch implementation of CommNet☆36Updated 8 years ago
- Hybrid Reward Architecture☆80Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆68Updated 7 years ago
- Implementation of clipped action policy gradient (CAPG) with PPO and TRPO☆31Updated 7 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 6 years ago