AurelianTactics / dqfd-with-keras
Implementation of Deep Q-learning from Demonstrations using Keras and a Retro Gym environment.
☆14Updated 6 years ago
Related projects: ⓘ
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆111Updated 5 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 4 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆128Updated 6 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆101Updated 5 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆129Updated last year
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆253Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 6 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆98Updated 3 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆173Updated last year
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆158Updated last month
- There will be updates later☆79Updated 5 years ago
- Proximal Policy Optimization implementation with TensorFlow☆101Updated 5 years ago
- Pytorch implementation of distributed deep reinforcement learning☆72Updated 2 years ago
- ☆45Updated 5 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆167Updated 6 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆110Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated last month
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆128Updated 5 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆286Updated 2 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆57Updated 5 years ago
- ppo-lstm-parallel☆42Updated 5 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆88Updated 5 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 4 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆265Updated 3 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆86Updated 6 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆170Updated 5 years ago