ZiyuanMa / R2D2Links
An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch
☆52Updated 3 years ago
Alternatives and similar repositories for R2D2
Users that are interested in R2D2 are comparing it to the libraries listed below
Sorting:
- Baseline implementation of recurrent PPO using truncated BPTT☆156Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 2 months ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆174Updated last year
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆171Updated last year
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆141Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆195Updated last year
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆90Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆80Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 6 months ago
- Distributional Soft Actor Critic☆59Updated 5 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆181Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- Experiments with reinforcement learning and recurrent neural networks☆115Updated 2 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- PyTorch implementation of SAC-Discrete.☆310Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆376Updated 3 years ago
- Partially Observable Process Gym☆206Updated 5 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆291Updated 4 years ago
- ☆49Updated 4 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆153Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆196Updated last year
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆52Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆84Updated 2 years ago