FanmingL / Recurrent-Offpolicy-RLLinks
Implementation of SAC and TD3 based on various RNN and Transformer.
β22Updated 10 months ago
Alternatives and similar repositories for Recurrent-Offpolicy-RL
Users that are interested in Recurrent-Offpolicy-RL are comparing it to the libraries listed below
Sorting:
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)β63Updated last year
- π₯ Datasets and env wrappers for offline safe reinforcement learningβ98Updated 10 months ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizatβ¦β37Updated last year
- β62Updated 8 months ago
- [NeurIPS 2023] Implementation of Elastic Decision Transformerβ35Updated last year
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").β33Updated last year
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.β26Updated last week
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RLβ23Updated 9 months ago
- β28Updated last year
- Synthetic Experience Replayβ95Updated last year
- β24Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.β64Updated last year
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spotβ¦β42Updated last year
- β23Updated last year
- Source files to replicate experiments in my ICLR 2022 paper.β70Updated 2 weeks ago
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)β35Updated last year
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmarβ¦β139Updated 2 years ago
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.β62Updated last week
- β49Updated 3 weeks ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)β86Updated 8 months ago
- β105Updated 2 years ago
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimizationβ27Updated 2 years ago
- [ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.β94Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).β87Updated last year
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"β107Updated 5 months ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for Dβ¦β19Updated 8 months ago
- β36Updated 2 years ago
- Official code of the paper "Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts" at ICLR2024β21Updated 8 months ago
- Pytorch Implementation of Learning Latent Dynamic Robust Representations for World Modelsβ19Updated last year
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023β32Updated 7 months ago