sweetice / PEER-CVPR23
Authors' implementation of PEER
☆9Updated last year
Alternatives and similar repositories for PEER-CVPR23:
Users that are interested in PEER-CVPR23 are comparing it to the libraries listed below
- [IROS2021] Human-Inspired Multi-Agent Navigation using Knowledge Distillation☆23Updated last year
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆31Updated 2 years ago
- curriculum☆21Updated 2 years ago
- Open-source codebase for MAZero, from "Efficient Multi-agent Reinforcement Learning by Planning" at ICLR 2024.☆25Updated 9 months ago
- ☆28Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- soft q learning and soft actor critic☆15Updated 6 years ago
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆20Updated 2 years ago
- Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".☆26Updated 5 years ago
- Public implementation of Heterogeneous Policy Networks (HetNet) from AAMAS'22 -- Paper Title: Learning Efficient Diverse Communication fo…☆16Updated 9 months ago
- Code for the ICML 2023 paper "What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?".☆9Updated last year
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆40Updated 2 years ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆26Updated 2 months ago
- multiagent-gail working with multiagent-particle-env-v2 (which was modified by magail authors)☆11Updated 5 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆38Updated 6 years ago
- ☆26Updated 3 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆55Updated last year
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆22Updated 3 months ago
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆14Updated last year
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆34Updated 3 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆43Updated 2 years ago
- DecentralizedLearning☆23Updated 2 years ago
- Code for Efficient Continuous Control with Double Actors and Regularized Critics, AAAI 2022.☆21Updated 2 years ago
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆19Updated 2 years ago
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆20Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆51Updated last year
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆55Updated 8 months ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆32Updated this week