iosband / TabulaRLLinks
☆65Updated last year
Alternatives and similar repositories for TabulaRL
Users that are interested in TabulaRL are comparing it to the libraries listed below
Sorting:
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 7 years ago
- ☆43Updated 8 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆53Updated 7 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆153Updated 7 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64Updated 9 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- krazy grid world☆25Updated 5 years ago
- Modular multitask reinforcement learning with policy sketches☆110Updated 4 years ago
- Deep Variational Reinforcement Learning☆135Updated 3 years ago
- some common TD Learning algorithms☆66Updated 5 years ago
- A collection of reading material for the Workshop on "Structure & Priors in Reinforcement Learning" (SPiRL) at ICLR 2019.☆13Updated 4 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆179Updated 7 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆238Updated 2 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆63Updated last year
- Code release for Learning with Opponent-Learning Awareness and variations.☆149Updated 2 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆126Updated 6 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 7 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago