gouxiangchen / soft-Q-learningLinks
discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!
☆56Updated 2 years ago
Alternatives and similar repositories for soft-Q-learning
Users that are interested in soft-Q-learning are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆133Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆180Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆141Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- [NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"☆60Updated last year
- ☆201Updated 2 years ago
- ☆49Updated 4 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- Submission for MAVEN: Multi-Agent Variational Exploration☆59Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 10 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆188Updated 3 years ago
- ☆133Updated last year
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆59Updated 4 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- ☆78Updated last year
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 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 …☆78Updated 9 months ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆32Updated 6 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆161Updated 2 years ago
- ☆29Updated 3 years ago
- Deep Implicit Coordination Graphs☆43Updated last year
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆72Updated 8 years ago