lucaslingle / pytorch_rl2
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
- Meta RL codebase for Unstable Baselines☆21Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆39Updated 4 years ago
- ☆20Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆126Updated 8 months ago
- ☆27Updated 4 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆106Updated 3 years ago
- There will be updates later☆84Updated 5 years ago
- ☆49Updated 3 years ago
- CORRO code☆35Updated 2 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆26Updated 3 years ago
- ☆128Updated 9 months ago
- Code for a model-based version of Constrained Policy Optimization☆10Updated 3 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆141Updated 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
- ☆37Updated 3 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 4 months ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆66Updated last year
- A collection of Meta-Reinforcement Learning algorithms in PyTorch☆40Updated 9 months ago
- ☆55Updated 2 years ago
- ☆44Updated 4 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆187Updated 2 years ago
- A PyTorch implementation of Implicit Q-Learning☆81Updated 3 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆31Updated last year
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆121Updated 3 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆57Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 9 months ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆166Updated 5 months ago
- A reusable framework for successor features for transfer in deep reinforcement learning using keras.☆43Updated 3 years ago
- Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation☆65Updated 3 years ago