IandRover / meta_gradient_RLLinks
Implementation of NeurIPS 2018 paper "Meta-Gradient Reinforcement Learning"
β22Updated 3 years ago
Alternatives and similar repositories for meta_gradient_RL
Users that are interested in meta_gradient_RL are comparing it to the libraries listed below
Sorting:
- π A fast safe reinforcement learning library in PyTorchβ237Updated last year
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)β23Updated 3 years ago
- Deep Implicit Coordination Graphsβ43Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)β87Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discoveryβ111Updated 3 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and coβ¦β147Updated last year
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."β65Updated 5 years ago
- β222Updated 2 years ago
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotliβ¦β139Updated 5 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.β239Updated 5 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022β341Updated last year
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).β29Updated 4 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)β81Updated 2 years ago
- β100Updated 5 years ago
- The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".β63Updated 2 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is β¦β82Updated last year
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'β72Updated 4 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learningβ171Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016β143Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.β88Updated 2 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".β46Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)β112Updated 4 years ago
- Author's PyTorch implementation of TD7 for online and offline RLβ161Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.β176Updated last year
- A plotter for reinforcement learning (RL)β235Updated 4 years ago
- There will be updates laterβ88Updated 6 years ago
- β49Updated 4 years ago
- PyTorch implementation of SAC-Discrete.β314Updated last year
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"β183Updated 2 years ago
- β116Updated 2 years ago