jinala / multi-agent-neurosym-transformersLinks
Neurosymbolic transformers for multi-agent communication.
☆22Updated 4 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:
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆47Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆89Updated 4 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆149Updated 2 years ago
- ☆75Updated last year
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆68Updated 2 years ago
- Code for "On the Utility of Learning about Humans for Human-AI Coordination"☆109Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated 2 months ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- krazy grid world☆25Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- ☆62Updated 7 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 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
- ☆87Updated last year
- Soft Actor-Critic☆153Updated 7 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆150Updated 4 years ago
- Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas☆50Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆140Updated 2 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆63Updated last year
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆109Updated 3 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆75Updated last year