wotmd5731 / dqn
pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0
☆14Updated 7 years ago
Alternatives and similar repositories for dqn:
Users that are interested in dqn are comparing it to the libraries listed below
- Deep Recurrent Attention Reinforcement Learning in Atari☆84Updated 6 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆114Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- Yet another prioritized experience replay buffer implementation.☆48Updated 2 years ago
- PyTorch implementation of CommNet☆36Updated 7 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- ☆41Updated 5 years ago
- Tensorflow Implementation for "Noisy network for exploration"☆32Updated 7 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆140Updated 6 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆66Updated 5 years ago
- Code for the paper "Importance Weighted Transfer of Samples in Reinforcement Learning" (ICML 2018).☆16Updated 6 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- ☆76Updated 7 years ago
- Double Deep Q-Learning with Prioritized Experience Replay☆34Updated 7 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- Reproducing Policy Distillation (DeepMind paper ICLR 2016)☆22Updated 5 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆118Updated 6 months ago
- ReinforcementLearning Learn Play Atari Using DDPG and LSTM.☆20Updated 7 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆37Updated 6 years ago
- advantage actor-critic reinforcement learning for openai gym cartpole☆65Updated 7 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆37Updated 6 years ago