jinala / multi-agent-neurosym-transformersLinks
Neurosymbolic transformers for multi-agent communication.
☆22Updated 5 years ago
Alternatives and similar repositories for multi-agent-neurosym-transformers
Users that are interested in multi-agent-neurosym-transformers are comparing it to the libraries listed below
Sorting:
- ☆78Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆151Updated 2 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Updated 2 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆47Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆146Updated 2 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
- ☆62Updated 7 years ago
- Code for "On the Utility of Learning about Humans for Human-AI Coordination"☆110Updated 2 years ago
- Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning☆103Updated 3 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 5 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆30Updated 6 years ago
- Reinforcement Learning papers on exploration methods.☆19Updated 4 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆97Updated 7 months ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- Pytorch implementation of Soft Actor-Critic☆20Updated 5 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 7 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 6 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
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆225Updated 2 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆69Updated 4 years ago
- ☆135Updated last year
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆130Updated 4 years ago
- Soft Actor-Critic☆157Updated 7 years ago