mit-gfx / PGMORL
[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
☆102Updated 4 years ago
Alternatives and similar repositories for PGMORL:
Users that are interested in PGMORL are comparing it to the libraries listed below
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆97Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆154Updated 2 months ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆159Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆121Updated 5 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆81Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆122Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆170Updated 3 months ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆129Updated 8 months ago
- Combining Evolutionary Algorithms and deep RL in various ways☆100Updated 4 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 5 months ago
- Collection of OpenAI parametrized action-space environments.☆62Updated last year
- ☆119Updated 5 months ago
- A collection of offline reinforcement learning algorithms.☆164Updated last month
- A collection of recent MARL papers☆82Updated last month
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆79Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆156Updated 9 months ago
- DSAC; Distributional Soft Actor-Critic☆115Updated 10 months ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆50Updated last year
- ☆120Updated last year
- There will be updates later☆83Updated 5 years ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆31Updated 2 years 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
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆63Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆173Updated 2 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆151Updated 6 months ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆42Updated 4 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆98Updated 2 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆22Updated last week
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆78Updated last year