yingchengyang / CPPOLinks
Official implementation for "Towards Safe Reinforcement Learning via Constraining Conditional Value at Risk" (IJCAI 2022)
☆19Updated 9 months ago
Alternatives and similar repositories for CPPO
Users that are interested in CPPO are comparing it to the libraries listed below
Sorting:
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆24Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆87Updated last year
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆79Updated 2 years ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆55Updated last year
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 3 months ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 2 years ago
- [NeurIPS 2023] Implementation of Elastic Decision Transformer☆35Updated last year
- ☆110Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"☆14Updated 4 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 4 months ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆32Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆57Updated 2 years ago
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆20Updated 3 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆27Updated 3 years ago
- ☆22Updated last year
- ☆20Updated 2 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆43Updated 7 months ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆95Updated 9 months ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆27Updated last year
- ☆48Updated 2 years ago
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆75Updated this week
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆20Updated 3 years ago
- ☆16Updated 2 years ago
- Code for ICML2023 accepted paper: Complementary Attention for Multi-Agent Reinforcement Learning.☆18Updated 2 years ago
- Re-implementations of SOTA RL algorithms.☆133Updated last year
- Benchmarked implementations of Offline RL Algorithms.☆73Updated 3 months ago
- Open-source codebase for MAZero, from "Efficient Multi-agent Reinforcement Learning by Planning" at ICLR 2024.☆31Updated last year
- Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.☆16Updated last week
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆36Updated last year