david-abel / transfer_rl_icml_2018Links
A codebase for experimenting with various approaches to action priors.
☆18Updated 6 years ago
Alternatives and similar repositories for transfer_rl_icml_2018
Users that are interested in transfer_rl_icml_2018 are comparing it to the libraries listed below
Sorting:
- ☆25Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Implementation of Random Expert Distillation☆29Updated 6 years ago
- ☆35Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Reinforcement Learning papers on exploration methods.☆19Updated 4 years ago
- A simple and easy to use implementation of the soft actor-critic algorithm.☆15Updated 2 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Inferring beliefs about dynamics from behavior☆29Updated 7 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- E2C implementation in PyTorch☆43Updated 7 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆62Updated last year
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- ☆33Updated 7 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Autoregressive policies for continuous control reinforcement learning☆32Updated 6 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 4 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago