Dragon-Zhuang / BPPO
Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
☆82Updated last year
Alternatives and similar repositories for BPPO:
Users that are interested in BPPO are comparing it to the libraries listed below
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆52Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆141Updated last year
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆75Updated last year
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆88Updated 7 months ago
- Transformer in RL for decision-making☆98Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆61Updated 10 months ago
- A collection of offline reinforcement learning algorithms.☆178Updated 4 months ago
- ☆109Updated 2 years ago
- ☆46Updated 2 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆73Updated 2 years ago
- ☆37Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 3 years ago
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆40Updated 5 months ago
- Code for FOCAL Paper Published at ICLR 2021☆52Updated last year
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆58Updated 2 years ago
- ☆95Updated last year
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆196Updated 7 months ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆31Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆35Updated 2 months ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆95Updated 2 months ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆183Updated 6 months ago
- ☆44Updated 3 weeks ago
- CORRO code☆35Updated 2 years ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆55Updated last year
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 4 months ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆34Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆25Updated 3 weeks ago