FetchPush-v1
3 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in FetchPush-v1
Most implemented papers
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards
To solve these tasks efficiently, we propose a novel self-guided continual RL framework, RelayHER (RHER).
AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay
aralab-unr/multi-actor-critic-ddpg-with-aubo
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Since actor and critic learning plays a significant role in the overall robot's learning, the performance of the DDPG approach is relatively sensitive and unstable as a result.
MRHER: Model-based Relay Hindsight Experience Replay for Sequential Object Manipulation Tasks with Sparse Rewards
Sparse rewards pose a significant challenge to achieving high sample efficiency in goal-conditioned reinforcement learning (RL).
