paintception / Deep-Quality-Value-FamilyLinks
Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop
☆11Updated 3 years ago
Alternatives and similar repositories for Deep-Quality-Value-Family
Users that are interested in Deep-Quality-Value-Family are comparing it to the libraries listed below
Sorting:
- DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm☆25Updated 2 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆21Updated 6 years ago
- ☆44Updated 6 years ago
- ☆27Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆95Updated 6 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Dead-ends and Secure Exploration in Reinforcement Learning☆11Updated 6 years ago
- Reinforcement Learning papers on exploration methods.☆19Updated 3 years ago
- Logarithmic Reinforcement Learning☆26Updated 2 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- Reinforcement Learning Assembly☆92Updated 3 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆94Updated 4 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.☆16Updated 4 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- Highly Modular and Scalable Reinforcement Learning☆115Updated 5 years ago
- Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation☆31Updated 6 years ago
- Baselines and memory-based scenarios for the ViZDoom simulator☆34Updated 2 years ago
- Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks☆50Updated 2 years ago
- ☆35Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Surprise-based intrinsic motivation for deep reinforcement learning☆20Updated 8 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆31Updated 4 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago