dhruvramani / Transformers-RLLinks
An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"
☆183Updated 2 years ago
Alternatives and similar repositories for Transformers-RL
Users that are interested in Transformers-RL are comparing it to the libraries listed below
Sorting:
- Adaptive Attention Span for Reinforcement Learning☆135Updated 5 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆146Updated last year
- Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in Open…☆285Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆187Updated last year
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆170Updated last year
- PyTorch implementation of SAC-Discrete.☆313Updated last year
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆138Updated 4 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆385Updated 4 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆86Updated 3 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆237Updated 5 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆141Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆148Updated 6 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆200Updated last year
- ☆116Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆333Updated 4 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆85Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated 2 years ago
- A collection of offline reinforcement learning algorithms.☆208Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆182Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 4 months ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆58Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆98Updated 5 years ago
- ☆202Updated 2 years ago
- DSAC; Distributional Soft Actor-Critic☆136Updated 11 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆109Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆331Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year