mit-gfx / PGMORL
[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
☆108Updated 4 years ago
Alternatives and similar repositories for PGMORL:
Users that are interested in PGMORL are comparing it to the libraries listed below
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆106Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 8 months ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆39Updated 4 years ago
- There will be updates later☆84Updated 5 years ago
- Collection of OpenAI parametrized action-space environments.☆64Updated 3 weeks ago
- ☆120Updated 2 years ago
- DSAC; Distributional Soft Actor-Critic☆125Updated 2 months ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆166Updated 5 months 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
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆101Updated 2 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆83Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆126Updated 8 months ago
- A collection of offline reinforcement learning algorithms.☆176Updated 4 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆82Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆61Updated 10 months ago
- Author's PyTorch implementation of TD7 for online and offline RL☆141Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆166Updated last year
- Baseline implementation of recurrent PPO using truncated BPTT☆139Updated 11 months ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆99Updated 3 years ago
- ☆39Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆162Updated last week
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆52Updated 2 years ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆31Updated 2 years ago
- ☆49Updated 3 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆161Updated 9 months ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆158Updated 2 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago