Improbable-AI / eipoLinks
Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization
☆83Updated 2 years ago
Alternatives and similar repositories for eipo
Users that are interested in eipo are comparing it to the libraries listed below
Sorting:
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆68Updated 2 years ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆143Updated 2 years ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆47Updated 2 years ago
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆34Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆66Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆179Updated 3 years ago
- A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data…☆39Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆173Updated 11 months ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆43Updated 3 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 3 years ago
- behavior cloning from observation☆36Updated 4 years ago
- ☆45Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆90Updated last year
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆89Updated last year
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆43Updated last year
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 5 months ago
- MATE: the Multi-Agent Tracking Environment.☆48Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆137Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆77Updated 2 years ago
- [ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.☆94Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆60Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆151Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆111Updated 4 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆107Updated last year
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆193Updated last year
- Source files to replicate experiments in my ICLR 2022 paper.☆69Updated 3 months ago
- RL Algorithms for Visual Continuous Control☆33Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆135Updated last month
- Conservative Q Learning on top of SAC☆132Updated 3 years ago