david1309 / Multi_Task_RLLinks
Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow
☆17Updated 6 years ago
Alternatives and similar repositories for Multi_Task_RL
Users that are interested in Multi_Task_RL are comparing it to the libraries listed below
Sorting:
- Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms includ…☆31Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆44Updated 6 years ago
- DecentralizedLearning☆24Updated 2 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- Implementations of SAILR, PDO, and CSC☆32Updated 10 months ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆24Updated last year
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- soft q learning and soft actor critic☆15Updated 6 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆31Updated 2 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent …☆21Updated this week
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆62Updated 11 months ago
- ☆31Updated last year
- Deep Implicit Coordination Graphs☆41Updated last year
- Implement many Sparse Reward algorithms in Gym Fetch environment☆88Updated 4 years ago
- Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)☆15Updated 4 years ago
- Inverse Constrained Reinforcement Learning (ICML 2021)☆23Updated 3 years ago
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17Updated 3 years ago
- Transfer learning in deep reinforcement learning for continuous control. Implemented DDPG and TD3 algorithms and evaluated ability to ada…☆16Updated 3 months ago
- Model Predictive Actor-Critic Reinforcement Learning☆63Updated 3 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 5 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Implementation of Attentive Multi Task Deep Reinforcement Learning Architecture in Tensorflow☆15Updated 6 years ago
- Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".☆26Updated 5 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- This is the official repository for the paper "Guided Exploration with Proximal Policy Optimization using a Single Demonstration", https:…☆19Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- using recurrent networks(LSTM) to solve POMDPs☆35Updated 6 years ago