alimama-tech / NeurIPS_Auto_Bidding_General_Track_Baseline
Baseline for NeurIPS_Auto_Bidding_General_Track
☆24Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for NeurIPS_Auto_Bidding_General_Track_Baseline
- RLA is a tool for managing your RL experiments automatically☆70Updated last year
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆27Updated 3 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆48Updated last year
- Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).☆14Updated 2 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆54Updated last year
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆54Updated 10 months ago
- Code for "A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising" WSDM 2022☆19Updated 2 years ago
- A collection of offline reinforcement learning algorithms.☆157Updated 5 months ago
- Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.☆22Updated last month
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆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
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆73Updated 11 months ago
- RLA is a tool for managing your RL experiments automatically☆25Updated 3 months ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆52Updated 6 months ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆109Updated this week
- Paper Collection for Batch RL with brief introductions.☆85Updated 2 years ago
- Code for FOCAL Paper Published at ICLR 2021☆49Updated 11 months ago
- A large-scale multi-modal pre-trained model☆128Updated last year
- ☆28Updated last year
- Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体☆49Updated last year
- codes for SORL framework for auto-bidding☆35Updated 2 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆27Updated last year
- ☆89Updated 2 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- re-implementation of the offline model-based RL algorithm MOPO in pytorch☆24Updated 2 years ago
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆26Updated 11 months ago
- A simple 2D ball collision engine.☆12Updated last year
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆22Updated 3 weeks ago
- 此项目中将上传我在B站《强化学习理论基础》系列视频中的板书、参考资料等内容。☆72Updated last year
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆23Updated last year