JoungheeKim / bootsrapped-dqnLinks
This is pytorch implmentation project of Bootsrapped DQN
☆12Updated 4 years ago
Alternatives and similar repositories for bootsrapped-dqn
Users that are interested in bootsrapped-dqn are comparing it to the libraries listed below
Sorting:
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- PyTorch Implementation of Hamilton-Jacobi DQN☆16Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 5 years ago
- Implementation of Off Policy Adversarial Inverse Reinforcement Learning☆23Updated 4 years ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 2 years ago
- Single-file pytorch implementation of hybrid-SAC☆58Updated 4 years ago
- using recurrent networks(LSTM) to solve POMDPs☆35Updated 6 years ago
- ppo-lstm-parallel☆46Updated 6 years ago
- DecentralizedLearning☆24Updated 2 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- PyTorch Implementation of Ape-X (Distributed prioritized experience replay) architecture with DQN learner☆27Updated 4 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆29Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆54Updated 4 months ago
- Project on multi agent reinforcement learning applied on patrolling agents☆40Updated 5 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 3 years ago
- ☆42Updated 6 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- [TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving☆11Updated last year
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆53Updated 4 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆53Updated 6 years ago
- A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.☆37Updated 6 years ago
- Soft Actor-Critic with advanced features☆50Updated last week
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆143Updated 6 years ago
- PyTorch implementation of PPO algorithm☆22Updated 5 years ago
- MADDPG in Ray/RLlib☆54Updated 5 years ago
- Actor critic reinforcement learning + motion and task planning under LTL tasks + wireless sensor network routing☆13Updated 4 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year