microsoft / logrlLinks
Logarithmic Reinforcement Learning
☆26Updated 2 years ago
Alternatives and similar repositories for logrl
Users that are interested in logrl are comparing it to the libraries listed below
Sorting:
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- ☆35Updated 7 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆149Updated 2 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Reinforcement learning algorithms in RLlib☆59Updated last year
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Updated 5 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 5 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Reinforcement Learning papers on exploration methods.☆19Updated 4 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 4 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆97Updated 7 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆76Updated 5 years ago
- Highly Modular and Scalable Reinforcement Learning☆117Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆89Updated 4 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- ☆71Updated 2 years ago
- Deep Variational Reinforcement Learning☆136Updated 3 years ago