hemilpanchiwala / Hindsight-Experience-ReplayLinks
Implementation of HindSight Experience Replay paper with Pytorch
☆29Updated 4 years ago
Alternatives and similar repositories for Hindsight-Experience-Replay
Users that are interested in Hindsight-Experience-Replay are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆46Updated 8 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 10 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 2 years ago
- The Starcraft Multi-Agent challenge lite☆42Updated 8 months ago
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆63Updated 3 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆78Updated last year
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 3 weeks ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 2 years ago
- ☆49Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 10 months ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆69Updated last year
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆55Updated 3 years ago
- There will be updates later☆84Updated 6 years ago
- The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.☆41Updated 2 years ago
- Fast and flexible multi-agent gridworld reinforcement learning environments.☆43Updated 2 months ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆86Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆110Updated 4 years ago
- Conservative Q Learning on top of SAC☆130Updated 2 years ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆22Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆168Updated 6 months ago
- ☆20Updated 2 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 5 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- ☆53Updated last year
- ☆94Updated 4 years ago