HaozheJasper / CBRL_KDD22
PyTorch Implementation of KDD '22 paper: ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning
☆20Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for CBRL_KDD22
- Paper list for constrained policy optimization in reinforcement learning.☆68Updated last year
- codes for SORL framework for auto-bidding☆35Updated 2 years ago
- Baseline for NeurIPS_Auto_Bidding_General_Track☆24Updated 3 months ago
- Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).☆14Updated 2 years ago
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆65Updated last year
- Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising☆27Updated 4 years ago
- ☆118Updated 3 months ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆68Updated 4 years ago
- A collection of research and survey papers of hierarchical reinforcement learning (HRL).☆38Updated 4 years ago
- This is the source code of RPG (Reward-Randomized Policy Gradient)☆43Updated 2 years ago
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆100Updated 4 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆48Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆96Updated 2 years ago
- ☆38Updated 2 months ago
- Code for "Multi-task Reinforcement Learning with Soft Modularization"☆112Updated 3 years ago
- A collection of offline reinforcement learning algorithms.☆158Updated 5 months ago
- Constrained Policy Optimization implementation on Safety Gym☆21Updated 2 years ago
- ☆121Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Algorithm☆30Updated 2 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆27Updated 3 years ago
- The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆50Updated 11 months ago
- Multi Type Mean Field Reinforcement Learning☆30Updated 2 years ago
- ☆28Updated last year
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆55Updated 4 years ago
- RLA is a tool for managing your RL experiments automatically☆70Updated last year
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆161Updated last year
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆102Updated 2 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆89Updated 3 years ago
- PyTorch implementation of Constrained Policy Optimization☆48Updated 3 years ago
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆37Updated 2 years ago