HaiyinPiao / pytorch-a2clstm-DRQN
using recurrent networks(LSTM) to solve POMDPs
☆35Updated 6 years ago
Alternatives and similar repositories for pytorch-a2clstm-DRQN:
Users that are interested in pytorch-a2clstm-DRQN are comparing it to the libraries listed below
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆38Updated 5 years ago
- Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms includ…☆29Updated last year
- ☆41Updated 5 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆97Updated 3 years ago
- Assignments for CS294-112.☆30Updated 5 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Updated last year
- 2D Gridworld navigation using RL with Hindsight Experience Replay☆43Updated 5 years ago
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆34Updated 3 years ago
- ☆47Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆52Updated 7 months ago
- A simple and fast 2D RL environment with obstacles to learn navigation.☆18Updated 5 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆47Updated 4 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year
- Collection of OpenAI parametrized action-space environments.☆62Updated last year
- An implementation of deep reinforcement learning TD3 algorithm with prioritized experience replay (PER) buffer☆23Updated 5 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- multi-agent reinforcement learning for competitive environments using pytorch☆12Updated 5 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- ☆52Updated 5 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆64Updated last year
- ☆39Updated 3 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆79Updated last year
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆54Updated 2 years ago
- an implementation of ATOC☆14Updated 3 years ago
- I2Q: A Fully Decentralized Q-Learning Algorithm☆15Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆64Updated 3 years ago
- soft q learning and soft actor critic☆15Updated 6 years ago
- Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".☆51Updated 4 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆43Updated 5 years ago