uoe-agents / derlView external linksLinks
The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
☆27Feb 3, 2022Updated 4 years ago
Alternatives and similar repositories for derl
Users that are interested in derl are comparing it to the libraries listed below
Sorting:
- ☆30Aug 20, 2021Updated 4 years ago
- Dynamic Simulation Environments for Reinforcement Learning☆13Apr 17, 2021Updated 4 years ago
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆14Apr 25, 2024Updated last year
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆21Feb 20, 2023Updated 2 years ago
- ☆19Jul 18, 2021Updated 4 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆28Dec 7, 2021Updated 4 years ago
- Hierarchical Self-Play☆21Dec 5, 2018Updated 7 years ago
- Codes for Evolving Plastic ANNs☆14Dec 18, 2022Updated 3 years ago
- ZJU Robotics project of differential drive car path planning and trajectory planning based on the Client simulation platform (my freshman…☆10Dec 2, 2020Updated 5 years ago
- Reinforcement Learning via Latent State Decoding☆29Jun 12, 2023Updated 2 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Mar 24, 2023Updated 2 years ago
- Explore and Control with Adversarial Surprise☆10Jul 20, 2021Updated 4 years ago
- ☆12Jan 30, 2021Updated 5 years ago
- ☆11Oct 19, 2020Updated 5 years ago
- Deep Implicit Coordination Graphs☆43May 29, 2024Updated 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☆14May 25, 2023Updated 2 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆28Oct 29, 2023Updated 2 years ago
- ☆71Jan 3, 2023Updated 3 years ago
- ☆52Jul 21, 2022Updated 3 years ago
- Posted at AAAI 2023☆11Sep 4, 2025Updated 5 months ago
- ☆12Jan 3, 2022Updated 4 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Jun 28, 2019Updated 6 years ago
- 新增一个CBF层,并将其结合进actor网络中,得到safe RL框架。后续验证中发现这种做法并没有实质性的用处,所以不再继续这个项目☆11Mar 14, 2023Updated 2 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆50Feb 23, 2019Updated 6 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Jun 19, 2019Updated 6 years ago
- ☆12Apr 22, 2022Updated 3 years ago
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆28Feb 21, 2022Updated 3 years ago
- P3O paper code☆30Aug 7, 2019Updated 6 years ago
- A flexible Multi-Agent Reinforcement Learning (MARL) environment for Collective Robotic Construction (CRC) systems☆13Mar 22, 2023Updated 2 years ago
- Exploration by Random Network Distillation☆15Dec 30, 2018Updated 7 years ago
- NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization☆13Apr 10, 2023Updated 2 years ago
- Multi-task Multi-agent Soft Actor Critic for SMAC☆15Jan 18, 2022Updated 4 years ago
- Surprise-based intrinsic motivation for deep reinforcement learning☆21Mar 6, 2017Updated 8 years ago
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆36Jul 6, 2022Updated 3 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Mar 24, 2023Updated 2 years ago
- path finding algorithms☆17Apr 17, 2024Updated last year
- ☆13Apr 25, 2023Updated 2 years ago
- A simple wrapper to analyse and visualise reinforcement learning agents' behaviour in the environment.☆14Jan 8, 2022Updated 4 years ago
- ☆18Jul 25, 2024Updated last year