lucaslingle / pytorch_rl2Links
Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'
☆63Updated 3 years ago
Alternatives and similar repositories for pytorch_rl2
Users that are interested in pytorch_rl2 are comparing it to the libraries listed below
Sorting:
- There will be updates later☆84Updated 6 years 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
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- Meta RL codebase for Unstable Baselines☆21Updated 2 years ago
- ☆49Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆86Updated 2 years ago
- ☆44Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 10 months ago
- The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.☆41Updated 2 years ago
- ☆94Updated 4 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆46Updated 8 months ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆110Updated 4 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 2 years ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆32Updated 2 years ago
- ☆20Updated 2 years ago
- CORRO code☆35Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆168Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆189Updated 2 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆78Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Code for FOCAL Paper Published at ICLR 2021☆52Updated last year
- A collection of Meta-Reinforcement Learning algorithms in PyTorch☆44Updated 10 months ago
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆62Updated 2 years ago
- ☆111Updated 2 years ago
- A reusable framework for successor features for transfer in deep reinforcement learning using keras.☆44Updated 4 years ago
- ☆43Updated 3 years ago
- ☆38Updated 3 years ago