dtak / hip-mdp-publicLinks
Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
☆32Updated 7 years ago
Alternatives and similar repositories for hip-mdp-public
Users that are interested in hip-mdp-public are comparing it to the libraries listed below
Sorting:
- ☆43Updated 8 years ago
- Robust policy search algorithms which train on model ensembles☆30Updated 8 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Deep Variational Reinforcement Learning☆135Updated 3 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64Updated 9 years ago
- Code to train RL agents along with Adversarial distrubance agents☆66Updated 8 years ago
- ☆65Updated last year
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 7 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- ☆43Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Updated 8 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆23Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- ☆92Updated last year
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago