Valarzz / DLPA
☆20Updated 9 months ago
Alternatives and similar repositories for DLPA:
Users that are interested in DLPA are comparing it to the libraries listed below
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆26Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆60Updated 9 months ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆71Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 3 months ago
- ☆13Updated 3 months ago
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆64Updated 2 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆33Updated last year
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 3 months ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆25Updated 2 months ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆19Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆43Updated 5 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆88Updated 6 months ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆67Updated 9 months ago
- ☆91Updated last year
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆45Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.☆20Updated last year
- DecentralizedLearning☆24Updated 2 years ago
- Robust and safe deep reinforcement learning algorithms☆12Updated last year
- ☆23Updated last year
- ☆44Updated 2 weeks ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆82Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆44Updated 2 years ago
- Synthetic Experience Replay☆89Updated 10 months ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆16Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆34Updated last month
- Benchmarked implementations of Offline RL Algorithms.☆72Updated 3 weeks ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆21Updated 2 years ago