dtak / hip-mdp-public
Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
☆28Updated 6 years ago
Related projects: ⓘ
- Robust policy search algorithms which train on model ensembles☆28Updated 7 years ago
- Code accompanying the OptionGAN paper.☆43Updated 6 years ago
- ☆42Updated 7 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 6 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- ☆65Updated 6 months ago
- ☆69Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- ☆41Updated 5 years ago
- Dead-ends and Secure Exploration in Reinforcement Learning☆11Updated 5 years ago
- Code for the paper "TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning", Artemij Amiranashvili, Ale…☆12Updated 6 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated last year
- ☆13Updated 5 years ago
- ☆26Updated this week
- Implementation of Deepmind's Neural Episodic Control☆57Updated 6 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 4 years ago
- Tensorflow Implementation of MAML☆52Updated 6 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆64Updated 5 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆77Updated 5 years ago
- Inferring beliefs about dynamics from behavior☆28Updated 6 years ago
- ☆25Updated 5 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆28Updated last year
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆30Updated 4 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 6 years ago
- ☆32Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆33Updated 5 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆86Updated 6 years ago