proroklab / ControllingBehavioralDiversity
This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforcement learning.
☆14Updated last month
Related projects ⓘ
Alternatives and complementary repositories for ControllingBehavioralDiversity
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆11Updated 6 months ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆35Updated 2 months ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆26Updated 2 years ago
- Modular Single-file Reinfocement Learning Algorithms Library☆37Updated last year
- Fast and flexible multi-agent gridworld reinforcement learning environments.☆30Updated last week
- Heterogeneous Multi-Robot Reinforcement Learning☆34Updated 2 months ago
- Official code for "A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning"☆14Updated last year
- ☆37Updated last year
- The Starcraft Multi-Agent challenge lite☆35Updated last month
- ☆21Updated 6 months ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆34Updated 2 years ago
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆62Updated 2 months ago
- Toolkit of Causal Model-based Reinforcement Learning.☆32Updated last year
- OpenAi's gym environment wrapper to vectorize them with Ray☆22Updated last year
- ☆34Updated last year
- A modular implementation of PPO, and soon hopefully other algorithms.☆26Updated 9 months ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆22Updated 7 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆52Updated 9 months ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆48Updated last year
- ☆14Updated 2 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆31Updated last year
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆57Updated 5 months ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.☆14Updated 3 months ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆52Updated 7 months ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆25Updated 4 months ago
- ☆18Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆50Updated 4 months ago