cor3bit / bertsekas-marlLinks
PyTorch Implementation of the Sequential Multiagent Rollout algorithm
☆11Updated last year
Alternatives and similar repositories for bertsekas-marl
Users that are interested in bertsekas-marl are comparing it to the libraries listed below
Sorting:
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆33Updated last year
- Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"☆34Updated last year
- Fast and flexible multi-agent gridworld reinforcement learning environments.☆51Updated 10 months ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆45Updated 3 months ago
- Implementation of ``Actor-Critic Alignment for Offline-to-Online Reinforcement Learning''☆13Updated 2 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆38Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆94Updated 2 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆46Updated last year
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆29Updated 4 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆40Updated 11 months ago
- Author's PyTorch implementation of TD7 for online and offline RL☆161Updated 2 years ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆56Updated 3 years ago
- Code for FOCAL Paper Published at ICLR 2021☆55Updated 2 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆28Updated 2 years ago
- Datasets with baselines for Offline MARL.☆203Updated 3 months ago
- Representation Learning (RepL) Methods in Reinforcement Learning and Causal Inference☆30Updated 2 months ago
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆24Updated last year
- Benchmarking RL generalization in an interpretable way.☆173Updated 2 months ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆55Updated last year
- ☆52Updated 3 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆72Updated 3 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- Representation Learning for RL☆130Updated 2 years ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆31Updated 4 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆71Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated last year
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆40Updated last year
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 2 weeks ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- Synthetic Experience Replay☆107Updated last year