watakandai / hiro_pytorchLinks
Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
☆110Updated 4 years ago
Alternatives and similar repositories for hiro_pytorch
Users that are interested in hiro_pytorch are comparing it to the libraries listed below
Sorting:
- There will be updates later☆84Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 2 years ago
- ☆94Updated 4 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 3 months ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆87Updated 4 years ago
- ☆96Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆90Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆86Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆173Updated last year
- This is the official implementation of Multi-Agent PPO.☆106Updated 2 years ago
- ☆41Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 10 months ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆74Updated 5 months ago
- ☆40Updated 3 years ago
- DSAC; Distributional Soft Actor-Critic☆126Updated 3 months ago
- The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.☆40Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆168Updated 3 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆46Updated 8 months ago
- ☆44Updated 4 years ago
- ☆49Updated 3 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆168Updated 6 months ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- ☆39Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆52Updated 3 years ago
- ☆52Updated 6 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆56Updated 2 years ago