OscarHuangWind / Preference-Guided-DQN-AtariLinks
[TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving
☆12Updated 2 years ago
Alternatives and similar repositories for Preference-Guided-DQN-Atari
Users that are interested in Preference-Guided-DQN-Atari are comparing it to the libraries listed below
Sorting:
- Exploiting Transformer in Reinforcement Learning for Interpretable Temporal Logic Motion Planning (RAL 2023)☆12Updated 2 years ago
- Codes for the paper "Multi-task Hierarchical Adversarial Inverse Reinforcement Learning"☆19Updated 2 years ago
- (ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolut…☆37Updated last year
- The code for paper 'STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning'☆14Updated last year
- [UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment☆22Updated last year
- This repo has the code and suplementary materials of our 2024 RAL submission.☆19Updated last month
- Pytorch Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.☆18Updated 5 years ago
- ☆40Updated 9 months ago
- 新增一个CBF层，并将其结合进actor网络中，得到safe RL框架。后续验证中发现这种做法并没有实质性的用处，所以不再继续这个项目☆11Updated 2 years ago
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆25Updated last year
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆36Updated 3 years ago
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆15Updated 2 years ago
- Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)☆19Updated 11 months ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆27Updated last year
- Public sourcecode for Transformable Gaussian Reward Function for Robot Navigation with Deep Reinforcement Learning☆22Updated last year
- ☆60Updated 3 months ago
- Heterogeneous Multi-Robot Reinforcement Learning☆53Updated last year
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 3 years ago
- Predicting path with preference based on user demonstration using Maximum Entropy Deep Inverse Reinforcement Learning in a continuous env…☆24Updated 3 years ago
- Tufts Probabilistic Robotics Spring 2020 Final Project☆16Updated 5 years ago
- A novel Hierarchical Imitation Learning algorithm based on AIRL.☆22Updated 2 years ago
- Repository of the work: Improving robot navigation in crowded environments using intrinsic rewards (ICRA 2023)☆23Updated 9 months ago
- Combination of RL and game theory for modeling human behavior☆11Updated 4 years ago
- The test code for the paper "Attention-based advantage actor-critic algorithm with prioritized experience replay for complex 2-D robotic …☆10Updated 3 years ago
- Public version of the decentralized, attention-based mTSP code☆37Updated 4 years ago
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆21Updated 2 years ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆28Updated 2 years ago
- Multi Agent SAC and DDPG applied to path finding in a 3-dimensional grid☆13Updated 4 years ago
- ☆10Updated 3 years ago
- jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles☆15Updated 6 years ago