djstrouse / InfoMARLLinks
using information theory to encourage agents to cooperate and compete
☆19Updated 7 years ago
Alternatives and similar repositories for InfoMARL
Users that are interested in InfoMARL are comparing it to the libraries listed below
Sorting:
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas☆54Updated 3 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 6 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆24Updated 7 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 7 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Updated 2 years ago
- ☆18Updated last year
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 6 years ago
- Tutorials on learning and using successor representations.☆54Updated 6 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆17Updated 8 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Updated 3 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆30Updated 6 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆34Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 3 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35Updated 6 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆52Updated 4 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆35Updated 4 years ago
- ☆44Updated 7 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- Code for Continual Reinforcement Learning with Multi-Timescale Replay☆24Updated 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 5 years ago