moratodpg / imp_marlLinks
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
☆45Updated 2 months ago
Alternatives and similar repositories for imp_marl
Users that are interested in imp_marl are comparing it to the libraries listed below
Sorting:
- The Starcraft Multi-Agent challenge lite☆42Updated last year
- Partially Observable Process Gym☆207Updated 6 months ago
- Benchmarking RL generalization in an interpretable way.☆170Updated 3 weeks ago
- Fast and flexible multi-agent gridworld reinforcement learning environments.☆46Updated 8 months ago
- Datasets with baselines for Offline MARL.☆191Updated last month
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆56Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆68Updated last year
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆38Updated 2 years ago
- ☆47Updated 3 weeks ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆105Updated 3 years ago
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆85Updated last year
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆67Updated 2 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆40Updated 10 months ago
- DecentralizedLearning☆24Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 3 months ago
- ☆23Updated last year
- Representation Learning for RL☆129Updated 2 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆90Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆182Updated 3 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆78Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- Codebase for the Graph-based Policy Learning algorithm, which is designed for learning policies to solve the open ad hoc teamwork problem…☆35Updated 4 years ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆33Updated 3 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆72Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆190Updated 3 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆156Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆70Updated last year
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 3 years ago