3results about How to "Reduce forgetting" patented technology

The application discloses an indoor robot vision navigation method based on an optimal strategy playback, which is divided into an on-policy algorithm and an off-policy algorithm, current navigation targets are trained in the on-policy, and old navigation targets are reviewed in the off-policy to reduce catastrophic forgetting. The method comprises a single feature extraction network and a strategy network. The input of the strategy network is the output of the state feature extraction network, namely, the advanced feature map of a current image. The output of the whole network is two functions: a strategy function pi (a|s) and a value function Q (s|a). The whole training process is divided into two stages: an on-policy stage and an off-policy stage. In the on-policy stage, an agent learns the strategy of a new target through interaction with an environment, and in the off-policy stage, the agent reviews the learned strategy by using the optimal experience of old targets stored in a memory to prevent catastrophic forgetting. The application utilizes the experience in the memory to learn the experience of old navigation targets, so that forgetting can be reduced to the maximum.

The utility model discloses a USB charger protection box, including first box body, second box body, connecting piece and pendant, first box body and second box body are detachably connected through screw thread structure, and the inner wall of first box body and second box body all is equipped with second protective pad, the outside wall of second box body is fixedly connected with connecting piece, and the both ends of pendant are linked with connecting piece respectively, and the connecting portion of first box body and second box body is equipped with sealing element, and the outer surface of first box body and second box body all is equipped with antiskid line, in the utility model, through adopting first box body and second box body of screw thread connection, cooperate the sealing element of connecting portion, can effectively enhance the sealing property of box body, realize good dustproof waterproof effect, and the second protective pad of box body inner wall, utilize the elastic material buffer impact force, form the all -round anti -drop protection to charger, solved the problem that the existing charger is easy to damage because of collision, dust and water.

The application relates to the technical field of context management, in particular to a method for optimizing a context window of a large model based on cognition. In the application, a PageRank algorithm is used to perform iterative updating on a directional correlation weight and output an entry importance distribution, the ratio of importance to length is entered into sorting and reserved items are selected under capacity constraints, multiple conclusion dependent evidence is entered into a forced reserved path, contradictory evidence is entered into an exclusive selection and replacement numbering registration path, a finite state machine is used to filter windowable entries according to a context stage identifier, and a life cycle marker and version number are linked to exclude expired conflict content, conclusion numbers are aggregated to form aggregated units and an index placeholder is written for excessive units, non-referenced units are executed to reserve index mapping, the probability of forgetting and repeatedly asking in cross-round interaction is reduced, window occupancy fluctuation converges, invalid reasoning overhead and calculation cost are reduced, and the proportion of task target related information is increased, thereby improving output consistency.