david-abel / rl_info_theory
A collection of code investigating the use of information theory for abstractions in RL
☆16Updated 6 years ago
Alternatives and similar repositories for rl_info_theory:
Users that are interested in rl_info_theory are comparing it to the libraries listed below
- Code for experimenting with state and action abstractions in reinforcement learning.☆31Updated 4 years ago
- A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post☆46Updated 6 years ago
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 7 years ago
- ☆35Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Variational Reinforcement Learning☆16Updated 8 months ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆19Updated 5 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 5 years ago
- DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm☆25Updated 2 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation☆31Updated 6 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- Generalised UDRL☆37Updated 2 years ago
- ☆14Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Inferring beliefs about dynamics from behavior☆29Updated 6 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Updated 5 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆94Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 6 years ago
- Code for running EX2: Exploration with Exemplar Models for Deep Reinforcement Learning☆9Updated 7 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆21Updated 4 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- ☆19Updated 3 years ago
- Reinforcement Learning papers on exploration methods.☆20Updated 3 years ago
- Codebase of Santara et. al., RAIL: Risk Averse Imitation Learning, Published in AAMAS 2018☆14Updated 3 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 6 years ago
- Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies☆15Updated 6 years ago