fshamshirdar / pytorch-rdpgLinks
PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
☆55Updated 2 years ago
Alternatives and similar repositories for pytorch-rdpg
Users that are interested in pytorch-rdpg are comparing it to the libraries listed below
Sorting:
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 6 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆143Updated 6 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 7 years ago
- Soft Actor-Critic with advanced features☆50Updated this week
- Solving POMDP using Recurrent networks☆90Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Updated 2 years ago
- MADDPG in Ray/RLlib☆54Updated 5 years ago
- Adaptive Attention Span for Reinforcement Learning☆133Updated 5 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆139Updated 2 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 7 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 9 months ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆127Updated 2 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 8 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆214Updated 2 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 6 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 2 weeks ago
- ☆92Updated last year
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆103Updated 4 years ago
- ☆75Updated last year
- ☆84Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 5 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆210Updated 6 years ago