Rohan138 / rllib-torch-maddpgLinks
PyTorch implementation of MADDPG (Lowe et al.) in RLLib
☆9Updated 3 years ago
Alternatives and similar repositories for rllib-torch-maddpg
Users that are interested in rllib-torch-maddpg are comparing it to the libraries listed below
Sorting:
- This is MPE-pytorch, fix some bugs.☆10Updated 5 years ago
- A curated list of awesome Model-based reinforcement learning resources☆94Updated 4 years ago
- Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.☆33Updated 4 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆44Updated 6 years ago
- Distributed Deep Reinforcement Learning☆29Updated 4 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆41Updated 3 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- ☆22Updated last year
- Soft Actor-Critic with advanced features☆50Updated this week
- Working directory for dynamics learning for experimental robots.☆58Updated 4 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆82Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 2 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆31Updated 2 years ago
- Modular Single-file Reinfocement Learning Algorithms Library☆38Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 8 months ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- Hierarchical Reinforcement Learning (batteries included)☆46Updated 5 years ago
- Model-based Policy Gradients☆31Updated 5 years ago
- Reinforcement Learning | Multi-Agent RL | Self-Play | Proximal Policy Optimization Algorithm (PPO) agent | Unity Tennis environment☆20Updated last year
- DecentralizedLearning☆24Updated 2 years ago
- ☆73Updated 5 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆86Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆14Updated 8 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆51Updated 2 months ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆38Updated 2 years ago