GhadaSokar / Dynamic-Sparse-Training-for-Deep-Reinforcement-Learning
[IJCAI 2022] "Dynamic Sparse Training for Deep Reinforcement Learning" by Ghada Sokar, Elena Mocanu , Decebal Constantin Mocanu, Mykola Pechenizkiy, and Peter Stone.
☆11Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Dynamic-Sparse-Training-for-Deep-Reinforcement-Learning
- Model-based reinforcement learning using CEM, MPC and PETS☆16Updated 5 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆37Updated 3 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆18Updated 3 years ago
- The implementation of Discriminator Soft Actor Critic☆14Updated 4 years ago
- ☆11Updated 5 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆36Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆41Updated 5 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆33Updated 3 years ago
- Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)☆12Updated 3 years ago
- ☆11Updated 2 years ago
- [IROS 22'] Model-free Neural Lyapunov Control☆20Updated last year
- Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project☆14Updated 3 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- Implementation of Deep Q-Network（DQN）and Model Predictive Control, and their evaluation on the Quanser robot platform☆11Updated 4 years ago
- DecentralizedLearning☆21Updated last year
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆25Updated 4 years ago
- Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment☆11Updated 6 years ago
- This is MPE-pytorch, fix some bugs.☆10Updated 4 years ago
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆26Updated 4 years ago
- ☆9Updated 4 years ago
- Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".☆25Updated 4 years ago
- Research repo of RL☆22Updated last year
- ☆18Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆10Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".☆14Updated 3 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆26Updated 5 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆45Updated 8 months ago
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆14Updated last year