paintception / Deep-Quality-Value-Family
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
- DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm☆25Updated 2 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- ☆44Updated 6 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆20Updated last year
- Dead-ends and Secure Exploration in Reinforcement Learning☆11Updated 5 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆93Updated 6 years ago
- Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.☆16Updated 4 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆21Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- ☆35Updated 6 years ago
- ☆27Updated 5 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆48Updated 2 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Logarithmic Reinforcement Learning☆26Updated last year
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- E2C implementation in PyTorch☆43Updated 7 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 6 years ago
- Surprise-based intrinsic motivation for deep reinforcement learning☆20Updated 7 years ago
- Reinforcement Learning Assembly☆92Updated 3 years ago
- Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)☆44Updated last year
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- A library of probabilistic model based RL algorithms in pytorch☆108Updated 3 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 5 months ago
- Reinforcement Learning papers on exploration methods.☆20Updated 3 years ago
- Code for Optimistic Exploration even with a Pessimistic Initialisation☆14Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Map-Elites based on Evolution Strategies☆31Updated 3 years ago