Transfer Reinforcement Learning
13 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Transfer Reinforcement Learning
bipedal-skills
Most implemented papers
Scalable Multiagent Driving Policies For Reducing Traffic Congestion
Next, we propose a modular transfer reinforcement learning approach, and use it to scale up a multiagent driving policy to outperform human-like traffic and existing approaches in a simulated realistic scenario, which is an order of magnitude larger than past scenarios (hundreds instead of tens of vehicles).
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
adaptive-rl/adarl-code
•
•
ICLR 2022
We show that by explicitly leveraging this compact representation to encode changes, we can efficiently adapt the policy to the target domain, in which only a few samples are needed and further policy optimization is avoided.
Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations
saodem74/Transfer-Learning-in-Reinforcement-Learning
•
•
In this paper, we approach the task of transfer learning between domains that differ in action spaces.
