gopala-kr / DRL-AgentsLinks
research and implementations of Deep RL agents and their applications
☆59Updated 3 months ago
Alternatives and similar repositories for DRL-Agents
Users that are interested in DRL-Agents are comparing it to the libraries listed below
Sorting:
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆120Updated 2 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆223Updated 2 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- ☆77Updated 7 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆39Updated 6 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆87Updated 8 years ago
- Solving POMDP using Recurrent networks☆92Updated 5 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 5 years ago
- ☆78Updated last year
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆28Updated 6 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆43Updated 6 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆148Updated 6 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆127Updated 5 years ago
- FEN Code☆40Updated 6 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago