VictorYXL / ReplenishmentEnv
☆38Updated 11 months ago
Alternatives and similar repositories for ReplenishmentEnv:
Users that are interested in ReplenishmentEnv are comparing it to the libraries listed below
- This is the official implementation of ERL-Re2.☆64Updated 9 months ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆55Updated last year
- Enabling Mixed Opponent Strategy Script and Self-play on SMAC☆25Updated 2 months ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆153Updated last year
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆73Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆73Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆82Updated last year
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆27Updated last year
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆117Updated 4 months ago
- A collection of offline reinforcement learning algorithms.☆175Updated 4 months ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆60Updated last year
- The official code releasement of publications in MARL field of TJU RL lab.☆71Updated 2 years ago
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆21Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 3 months ago
- The collection of the research works about Automatic Reinforcement Learning in Microsoft Research Asia.☆51Updated last year
- ☆30Updated 2 years ago
- Decision Transformer: A brand new Offline RL Pattern.☆35Updated 3 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆71Updated last year
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆131Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆165Updated 11 months ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆52Updated 2 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆46Updated last year
- ☆29Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆52Updated last year
- ☆199Updated last year
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆20Updated 2 years ago
- ☆38Updated 2 years ago
- Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)☆161Updated last year