djstrouse / InfoMARL
using information theory to encourage agents to cooperate and compete
☆19Updated 6 years ago
Alternatives and similar repositories for InfoMARL:
Users that are interested in InfoMARL are comparing it to the libraries listed below
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Code for Model-Free Opponent Shaping (ICML 2022)☆16Updated 2 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 4 years ago
- Reinforcement Learning papers on exploration methods.☆20Updated 3 years ago
- Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas☆49Updated 2 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 5 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆16Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆33Updated 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 4 years ago
- ☆15Updated 6 months ago
- Generalised UDRL☆37Updated 2 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- Neurosymbolic transformers for multi-agent communication.☆21Updated 4 years ago
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Updated 7 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 3 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- ☆41Updated 6 years ago
- Code for Continual Reinforcement Learning with Multi-Timescale Replay☆22Updated 4 years ago